COMPARACIÓN DEL COMPORTAMIENTO SÍSMICO LINEAL Y NO-LINEAL, EN EL ANÁLISIS Y D...Gustavo Cu
El objetivo de este proyecto de tesis académico es analizar, evaluar y comparar
la aplicabilidad de los métodos simplificados de análisis sísmicos, propuestos
por la norma peruana de diseño de edificios. Se desea conocer las derivas de
entrepiso o distorsiones de cada modelo sísmico y modelos por acción de
viento, también se desea saber si estas metodologías son prácticas de aplicar
para predecir el comportamiento global de la estructura con disipadores de
energía sometidos a sismos peruanos y comprobar si las estimaciones que
entrega, son lo suficientemente precisas cuando se analiza una estructura real.
Se eligió como estructura un edificio alto de concreto armado de 23 niveles, se
construyó un modelo en ETABS de la estructura sismo-resistente y de los
sistemas disipadores, representando la distribución espacial de las propiedades
de masa, rigidez y amortiguamiento, la estructura se modeló con el análisis
sísmico modal tiempo historia “lineal”, para luego analizar el comportamiento
“no lineal” con los disipadores fluido-viscosos (dámper).
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
COMPARACIÓN DEL COMPORTAMIENTO SÍSMICO LINEAL Y NO-LINEAL, EN EL ANÁLISIS Y D...Gustavo Cu
El objetivo de este proyecto de tesis académico es analizar, evaluar y comparar
la aplicabilidad de los métodos simplificados de análisis sísmicos, propuestos
por la norma peruana de diseño de edificios. Se desea conocer las derivas de
entrepiso o distorsiones de cada modelo sísmico y modelos por acción de
viento, también se desea saber si estas metodologías son prácticas de aplicar
para predecir el comportamiento global de la estructura con disipadores de
energía sometidos a sismos peruanos y comprobar si las estimaciones que
entrega, son lo suficientemente precisas cuando se analiza una estructura real.
Se eligió como estructura un edificio alto de concreto armado de 23 niveles, se
construyó un modelo en ETABS de la estructura sismo-resistente y de los
sistemas disipadores, representando la distribución espacial de las propiedades
de masa, rigidez y amortiguamiento, la estructura se modeló con el análisis
sísmico modal tiempo historia “lineal”, para luego analizar el comportamiento
“no lineal” con los disipadores fluido-viscosos (dámper).
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
control de emisiones de gases contaminantes.pptxjesusbellido2
en el siguiente documento s epodra apreciar los gases que emiten los vehiculos y sus consecuencias tambien se podra apreciar las normas euro cino y las normas euro seis
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
control de emisiones de gases contaminantes.pptxjesusbellido2
en el siguiente documento s epodra apreciar los gases que emiten los vehiculos y sus consecuencias tambien se podra apreciar las normas euro cino y las normas euro seis
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age.
Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.
A brief introduction to DataScience with explaining of the concepts, algorithms, machine learning, supervised and unsupervised learning, clustering, statistics, data preprocessing, real-world applications etc.
It's part of a Data Science Corner Campaign where I will be discussing the fundamentals of DataScience, AIML, Statistics etc.
Time Management & Productivity - Best PracticesVit Horky
Here's my presentation on by proven best practices how to manage your work time effectively and how to improve your productivity. It includes practical tips and how to use tools such as Slack, Google Apps, Hubspot, Google Calendar, Gmail and others.
The six step guide to practical project managementMindGenius
The six step guide to practical project management
If you think managing projects is too difficult, think again.
We’ve stripped back project management processes to the
basics – to make it quicker and easier, without sacrificing
the vital ingredients for success.
“If you’re looking for some real-world guidance, then The Six Step Guide to Practical Project Management will help.”
Dr Andrew Makar, Tactical Project Management
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59
Key takeaways:
• Learn how to use ChatGPT to add AI power to your testing and test automation
• Understand the limitations of the technology and where human expertise is crucial
• Gain insight into different AI-based tools
• Adopt AI-based tools to stay relevant and optimize work for developers and testers
* ChatGPT and OpenAI belong to OpenAI, L.L.C.
More than Just Lines on a Map: Best Practices for U.S Bike Routes
This session highlights best practices and lessons learned for U.S. Bike Route System designation, as well as how and why these routes should be integrated into bicycle planning at the local and regional level.
Presenters:
Presenter: Kevin Luecke Toole Design Group
Co-Presenter: Virginia Sullivan Adventure Cycling Association
More than Just Lines on a Map: Best Practices for U.S Bike Routes
Diseño de mescla aci 290714
1. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
1
CONO NORTE
DISEÑO DE MESCLA – ENSAYOS
ENSAYO - GRANULOMETRIA DEL AGREGADO FINO
MALLA WRETENIDO WRETENIDO
ACUMULADO
% WRETENIDO %WRETENIDO
ACUMULADO
3/8” 19.00 19.00 1.9038 1.9038
1/4” 93.50 112.50 9.3687 11.2725
Nº4 85.10 197.60 8.5271 19.7996
8 244.10 441.70 24.4589 44.2585
16 177.30 619.00 17.7655 62.0240
30 104.20 723.20 10.4409 72.4649
50 75.40 798.60 7.5551 80.0200
100 79.40 878.00 7.9559 87.9760
200 52.00 930.00 5.2104 93.1864
<200 68.00 998.00 6.8136 100
998.00
Hallando modulo de fineza
Mallas consideradas 3”, 1 ½”,3/4”,3/8”, 4, 8, 16, 30, 50, 100.
݉ =
∑ Ψܹ ோா்ாேூைெ ை
100
݉ =
1.9038 + 19.7996 + 44.2585 + 62.0240 + 72.4649 + 80.0200 + 87.9760
100
= 3.68
También podría tomarse el modulo de fineza tomando las mallas a partir del tamiz Nº 4,
porque los finos son todos los pasantes por esta malla.
݉ =
19.7996 + 44.2585 + 62.0240 + 72.4649 + 80.0200 + 87.9760
100
= 3.66
Este modulo de fineza no cumple con los parámetros de ʹǤ͵ͷ ݉ ≤ 3.15, y su grafico me
indica que tiene mucho fino y a la vez grueso.
Recomendación: si fuera la única cantera habría que trabajar con este material, pero ya se ve
en nuestro diseño de mescla se incrementara cemento, si hubiera otras canteras esta cantera
se desecharía (Material malo).
ENSAYO - GRANULOMETRIA DEL AGREGADO GRUESO
MALLA WRETENIDO
(gramos)
WRETENIDO
ACUMULADO
% WRETENIDO %WRETENIDO
ACUMULADO
1 1/2” 97.2 97.2 0.4289 0.4289
1” 5035.4 5132.6 22.1101 22.2166
3/4” 4784.6 9917.2 21.1101 43.7556
1/2” 6788.8 16706.0 29.9528 73.7084
3/8” 2996.6 19702.6 13.2213 86.9296
Nº4 2651.7 22354.3 11.6995 98.6296
resto 310.7 22665 1.3708 100
2266.5
2. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
2
Hallando modulo de fineza del grueso
Mallas consideradas 3”, 1 ½”,3/4”,3/8”, 4, 8, 16, 30, 50, 100.
݉ =
∑ Ψܹ ோா்ாேூைெ ை
100
݉ =
0.4289 + 43.7556 + 86.9296 + 98.6292 + 100 + 100 + 100 + 100 + 100
100
= 7.297
Nota: el tamaño nominal TMN del agregado se encuentra en el intervalo (1 ½” – 1”) donde se
encuentra el 15%, pero por experiencia de laboratorio para que se tome la malla superior, esta
debería estar en el rango de 10% a mas (ósea 10%), entonces tomaremos (TMN=1”).
ENSAYO DE ABRASION – MAQUINA LOS ANGELES
MALLA WRETENIDO
(gramos)
1” 1250.4
3/4” 1250.2
1/2” 1250.5
3/8” 1250.0
5001.1
ܹ ூேூூ ൌ ܲ݁ݏ݅݊݃ݏ݁ݎ݈ܽ݀ܽܽ݉ ܽ݅ݑݍ݈݊ܽݏ݈ܽ݊݃݁݁ݏൌ ͷͲͲͳǤͳ݃
ܹ ிூே ൌ ܲ݁ݏ݂݈݈݅݊ܽ݀݁ܽ݉ ܽ݅ݑݍ݈݊ܽݏ݈ܽ݊݃݁݁ݏൌ ͵ʹͻǤͲ݃
DESGASTE
ͷͲͲͳǤͳ݃ ՜ ͳͲͲΨ
͵ʹͻǤͲ݃ ՜ ܺΨ
Ψ݈ܹ݀݁ ிூே ՜ ܺ ൌ ͷǤͻʹͷͷΨ
ܧܶܵܣܩܵܧܦ ൌ ͳͲͲΨ െ ͷǤͻʹͷͷΨ
ENSAYO - PESO ESPECÍFICO DEL AGREGADO FINO
Nota: Se deja una muestra global de 1500g en un balde saturado 24horas.
500g para el porcentaje de humedad en condición natural al horno.
500g para la probeta (saturados 24 horas).
500g para el horno (saturados 24 horas).
ܹ ௗ ൌ ͳͻͷǤ͵݃
ܹ ௧ ൌ ʹͳͶǤ͵݃
ܹ ௨௦௧ ൌ ܹ௦௦௦ ൌ ͷͲͲ݃ܽݎܽݐܾ݁ݎܽݐܽݏ݀ܽݎݑʹͶ݄ݏܽݎ
ܹ ௨௦௧ ܹ ௗ ൌ ͳͻͷǤͷ݃
ܹ ௨௦௧ ൌ ͳͻͷǤͷ݃ െ ͳͻͷǤ͵݃ ൌ ͳͷͲͲǤʹ݃
ܣ ൌ ܹௌௌௌ ܹ ௧ ܹ௨ ൌ ͳͶͻ͵݃
ܤ ൌ ܹ ௧ ܹ௨ ൌ ͳʹͲͺ ݃
ܥ ൌ ܹ௨ ൌ ܣ െ ܤ ൌ ͳͶͻ͵݃ െ ͳʹͲͺ ݃ ൌ ʹͺ ͷ݃ ൌ ܹௌௌௌ
ܦ ൌ ܹ ௦ ൌ Ͷͻʹ݃݁ݏ݉ ݁ݐ݈݄݅ܽ݊ݎͷͲͲ݃݁݊݁ݐݏܽ݀ࡿࢇ࢚࢛࢘ࢇࢊࡿ࢛ࢋ࢘ࢌࢉࢇ ࢋ࢚ࢋࡿࢋࢉ.
ܧ ൌ ௧ൌ ͳͲͲͲ݉ ݈ൌ ͳͲͲͲܿ݉ ଷ
5. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
5
RESUMEN DE ENSAYOS DE LABORTORIO – CONO NORTE
݂´ = 210
݂݇݃
ܿ݉ ଶ
݉݁ܥ ݁݊ݐܻܽݎݑܲܧ = ߛ = 2850
Agua potable de la ciudad
TMN = 1 ½”
AGREGADOS AGREGADO FINO AGREGADO GRUESO
PUC Peso Unitario Compactado 1660.17 kg/m3 1422.33 kg/m3
PUS Peso Unitario Suelto 1485.71 kg/m3 1341.36 kg/m3
PE masa seco Peso Especifico del Agregado 2.288 2.209
Absorción 1.626% 3.823%
Modulo de fineza 3.68 7.297
Contenido de Humedad 1.15% 0.857%
DISEÑO DE MESCLA METODO ACI
RESISTENCIA REQUERIDA
Como no tengo ningún dato estadístico usare.
f´c especificado f´c requerido
210 f´c + 70
210- 350 f´c + 84
350 f´c + 98
݂Ʋܿൌ ʹͳͲ
݂݇݃
ܿ݉ ଶ
+ 84
݂݇݃
ܿ݉ ଶ
= 294
݂݇݃
ܿ݉ ଶ
TAMAÑO NOMINAL MÁXIMO (TNM)
ܶܰܯ ൌ ͳͳȀʹ̶
ASENTAMIENTO
4” a 1”
TIPO DE ESTRUCTURA SLUMP
MINIMO
SLUMP
MAXIMO
Zapatas y muros de cimentación reforzados 3” 1”
Cimentaciones simples y calzaduras 3” 1”
Vigas y muros armados 4” 1”
Columnas 4” 2”
Muros y pavimentos 3” 1”
Concreto ciclópeo 2” 1”
Concreto superplastificado 6” 8”
CONTENIDO DE AIRE
1.0%
6. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
6
TNM del
Agregado Grueso
Aire
Atrapado
3/8” 3.0
1/2” 2.5
3/4” 2.0
1” 1.5
1 ½” 1.0
2” 0.5
3” 0.3
4” 0.2
VOLUMEN DE AGUA
Agua= 181 lt/m3
Asentamiento Agua en lt/m3 para TNM de agregado y consistencia indicadas
3/8” 1/2” 3/4” 1” 1 ½” 2” 3” 6”
Concreto sin aire incorporado
1” a 2” 207 199 190 179 166 154 130 113
3” a 4” 228 216 205 193 181 169 145 124
6” a 7” 243 228 216 202 190 178 160 ----
Concreto con aire incorporado
1” a 2” 181 175 168 160 150 142 122 107
3” a 4” 202 193 184 175 165 157 133 119
6” a 7” 216 205 187 184 174 166 154 ----
RELACION AGUA / CEMENTO (a/c)
f´cr
kg/cm2
Relación (a/c) en peso
Concreto sin aire
incorporado
Concreto con aire
incorporado
150 0.8 0.71
200 0.7 0.61
250 0.62 0.53
294 Interpolar
300 0.55 0.46
350 0.48 0.40
400 0.43
450 0.38
CONTENIDO DE CEMENTO
ݐ݊ܥ݁݊݅݀݀݁݉݁ܥ ݁݊ݐ ൌ
ܸ݈݉ݑ ݁݊݀݁ܽݑ݃ܣ
݈݁ݎܽܿ݅݊ሺܽ݃ܽݑȀܿ݁݉ ݁݊ݐሻ
=
∀௨
ܽ
ܿ⁄
ݐ݊ܥ݁݊݅݀݀݁݉݁ܥ ݁݊ݐ ൌ
181 ݈ݐ
݉ ଷൗ
0.5584
ൌ ͵ʹͶǤͳͶ݇݃
7. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
7
SELECCION DEL PESO DEL AGREGADO GRUESO POR UNIDAD DE VOLUMEN DEL CONCRETO
(1m3
).
TNM del
agregado
Grueso
Volumen del agregado grueso seco y compactado por unidad de volumen de
concreto para diversos módulos de fineza del fino.
2.40 2.60 2.80 3.00 3.68
3/8” 0.50 0.48 0.46 0.44
1/2 0.59 0.57 0.55 0.55
3/4 0.66 0.64 0.62 0.60
1” 0.71 0.69 0.67 0.65 interpolar
1 ½” 0.76 0.74 0.72 0.70 0.632 m3
2” 0.78 0.76 0.74 0.72
3” 0.81 0.79 0.77 0.75
6” 0.87 0.85 0.83 0.81
ܷܲܥܲ݁ݏ݅݊ݑݐܽ݅ݎܿ݉ ܿܽݐ݈ܽ݀݀݁݀ܽ݃݁ݎ݃ܣ݃ݏ݁ݑݎ ൌ ͳͶʹʹǤ͵͵݇݃Ȁ݉ ଷ
ܹ ௗ௨௦ = 1422.33
݇݃
݉ ଷൗ ήͲǤͲ͵ʹ݉ ଷ
ൌ ͺ ͻͺ Ǥͻͳ͵݇݃
CALCULO DE VOLUMENES ABSOLUTOS DE TODOS LOS AGREGADOS
Material Peso Seco Peso Especifico Volumen
Cemento (kg) 324.14 kg 2850 kg/m3 0.1137 m3
Agua (lt) 181 lt/m3 1000 kg/m3 0.1810 m3
Agregado grueso (kg) 898.913 kg 2209 0.4069 m3
Aire (%) 1% ----- 0.0100 m3
0.7116 m3
CALCULO DEL VOLUMEN DEL FINO
∀ௗൌ ͳ݉ ଷ
െ ͲǤͳͳ݉ ଷ
ൌ ͲǤʹͺ ͺ Ͷ݉ ଷ
PESO DEL AGREGADO FINO
ܹ ൌ ͲǤʹͺ ͺ Ͷ݉ ଷ
ήܲܧ݂݅݊ ൌ ͲǤʹͺ ͺ Ͷ݉ ଷ
∙ 2288
݇݃
݉ ଷൗ ൌ ͷͻǤͺ ͷͻ݇݃
PRESENTACION DEL DISEÑO EN ESTADO SECO
Material Peso por m3
Cemento 324.14 kg/m3
Agua 181 lt/m3
Agregado grueso 898.913 kg/m3
Agregado fino 659.859 kg/m3
Aire 1%
CORRECCION POR HUMEDAD
ܹௗ ൌ ܹ ∙ (ͳ ݐ݊ܥ݁݊݅݀݀݁݉ݑܪ ݁݀ܽ݀)
8. INSTITUTO DE EDUCACIÓN SUPERIOR
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Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
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8
ܹௗீ௨௦ = 898.913
݇݃
݉ ଷ
∙ (1 + 0.00857) = 906.617
݇݃
݉ ଷ
ܹௗ = 659.859
݇݃
݉ ଷ
∙ (1 + 0.0115) = 667.447
݇݃
݉ ଷ
CALCULO DEL AGUA EFECTIVA
ݐݎܣ݈݁݀݁݀ܽ݃݁ݎ݃ܣ ൌ ܹ ∙ (ݐ݊ܥ݁݊݅݀݀݁݉ݑܪ ݁݀ܽ݀ െ Ψܾ݀݁ܽܿݎݏ݅)݊
ݐݎܣ݈݁݀݁݀ܽ݃݁ݎ݃ܣݏ݁ݑݎܩ ൌ ͺ ͻͺ Ǥͻͳ͵ή(0.00857 − 0.03823) ൌ െʹǤʹ݈ݐȀ݉ ଷ
ݐݎܣ݈݁݀݁݀ܽ݃݁ݎ݃ܣ݅ܨ݊ ൌ ͷͻǤͺ ͷͻ ή(0.0115 − 0.01626) ൌ െ͵ǤͳͶͳ݈ݐȀ݉ ଷ
ݐݎܣ݈݁݀݁݀ܽ݃݁ݎ݃ܣ݅ܨ݊ ൌ ͷͻǤͺ ͷͻ ή(0.0115 − 0.01626) =െʹͻǤͺ Ͳ͵݈ݐȀ݉ ଷ
ܽݑ݃ܣ݂݁݁ܿݐ݅ܽݒ ൌ ͳͺ ͳ݈ݐ
݉ ଷൗ െ ቀെʹͻǤͺ Ͳ͵݈ݐ
݉ ଷൗ ቁൌ ʹͳͲǤͺ Ͳ͵݈ݐ
݉ ଷൗ
PRESENTACION EN ESTADO HUMEDO
Material Peso por m3
Cemento 324.14 kg/m3
Agua 210.803 lt/m3
Agregado grueso 906.617 kg/m3
Agregado fino 667.447 kg/m3
Aire 1.0%
PROPORCION EN PESO
ܯܧܥ ܱܶܰܧܱܦܣܩܧܴܩܣܫܨܱܱܰܦܣܩܧܴܩܣܱܵܧܷܴܩ ܣܷܩܣ
324.14
݇݃
݉ ଷ
∶ 667.447
݇݃
݉ ଷ
∶ 906.617
݇݃
݉ ଷ
∶ 210.803
݈ݐ
݉ ଷ
324.14
݇݃
݉ ଷ
324.14
݇݃
݉ ଷ
∶
667.447
݇݃
݉ ଷ
324.14
݇݃
݉ ଷ
∶
906.617
݇݃
݉ ଷ
324.14
݇݃
݉ ଷ
∶
210.803
݈ݐ
݉ ଷ
324.14
݇݃
݉ ଷ
=
ܽ
ܿ
= 0.661193
1 ∶ 2.06 ∶ 2.80 ∶ 210.803
௧
య ∶ Calc. el agua p´ bolsa de Cement
Calculando el volumen de agua para una bolsa de cemento.
#Bolsas de cemento =
ܲ݁ݏ݀݁ܿ݁݉ ݁݊ݐܽݎܽ݊ݑ݉ ݁ݐݎܾܿ݅ݑܿ
ܲ݁ݏ݀݁ܿ݁݉ ݁݊ݐݎܾ݈ܽݏ
#Bolsas de cemento =
324.14
݇݃
݉ ଷ
42.50
݇݃
ܾ݈ݏܽ
= 7.63
ܾ݈ݏܽݏ
݉ ଷ
9. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
9
#Litros por bolsa =
݅ܮݐݏݎܽݎܽ݊ݑ݉ ݁ݐݎܾܿ݅ݑܿ
͓ ݈ܤݏܽݏ݀݁ܿ݁݉ ݁݊ݐ
#Litros por bolsa =
210.803
݈ݐ
݉ ଷ
7.63
ܾ݈ݏܽݏ
݉ ଷ
ൌ ʹǤ͵݈ݐ
DISEÑO FINAL
∶ . ∶ . ૡ ૠ. ࢚⁄
PREPARANDO EL VOLUMEN EN PESO DEL DISEÑO PARA UNA PROBETA (PARA ENSAYO A
COMPRESION).
Calculo del volumen de la probeta en pulgadas
∀௧=
ߨ ήܦଶ
∙ ℎ
4
=
ߨ ή(6)ଶ
∙ 12
4
ൌ ͵͵ͻǤʹͻʹ݈݃ଷ
Calculo del volumen de la probeta en metros cúbicos
∀௧ൌ ͵͵ͻǤʹͻʹ݈݃ଷ
∙ 0.000016
݉ ଷ
݈݃ଷ
ൌ ͲǤͲͲͷͷ݉ ଷ
Como estoy preparando concreto sin acero, entonces el peso del volumen a preparar:
†‡Ž…‘…”‡–‘•‹ ’Ž‡ൌ ߛºௌூெ ா = 2300
݇݃
݉ ଷ
Entonces el peso a preparar será:
ܹ ൌ ͲǤͲͲͷͷ݉ ଷ
∙ 2300
݇݃
݉ ଷ
ൌ ͳʹǤͺ ͺ ݇݃
Como el diseño ya fue definido, ahora por porcentajes calcularemos el peso de cada
componente:
1 ∶ 2.06 ∶ 2.08 / 27.63
݈ݐ
ܾ݈ܽݏ
Convertiremos a porcentaje el diseño:
1 + 2.06 + 2.08 = 5.86
Entonces si:
5.86 → 100%
ͳ՜ ܺଵΨ݈ܧ݉݁ܥ ݁݊ݐܽݎ݁ݏǣܺଵ = 17.065%
ʹǤͲ՜ ܺଶΨ݈ܧ݃ܣ݅ܨ݊ܽݎ݁ݏǣܺଶ = 35.154%
ʹǤͲͺ ՜ ܺଷΨ݈ܧ݃ܣݏ݁ݑݎܩܽݎ݁ݏǣܺଷ = 47.782%
PROPORCION DE PESOS
ܹ ௧ = 17.065% (ͳʹǤͺ ͺ ݇݃) = 0.17065(ͳʹǤͺ ͺ ݇݃) ൌ ʹǤͳͺ ʹ݇݃
ܹ = 35.154% (ͳʹǤͺ ͺ ݇݃) = 0.35154(ͳʹǤͺ ͺ ݇݃) ൌ ͶǤͶͻ݇݃
ܹ௨௦ = 47.782% (ͳʹǤͺ ͺ ݇݃) = 0.47782(ͳʹǤͺ ͺ ݇݃) ൌ ǤͳͳͲ݇݃
10. INSTITUTO DE EDUCACIÓN SUPERIOR
TECNOLÓGICO PUBLICO “PEDRO P. DÍAZ”
Institute of Technology
CARRERA PROFESIONAL
CONSTRUCCIÓN CIVIL
Civil Construction
I.E.S. “TECNOLÓGICO PEDRO P. DÍAZ” ELABORADO POR: GUSTAVO CONDORI UCHIRI
10
CALCULANDO CANTIDAD DE AGUA
Calculando el agua a partir de la relación agua/cemento (a/c)
ܽ
ܿ
=
ʹͳͲǤͺ Ͳ͵݈ݐȀ݉ ଷ
͵ʹͶǤͳͶ݇݃Ȁ݉ ଷ
= 0.65035
݈ݐ
݇݃
Como el cemento requerido es: ܹ ௧ ൌ ʹǤͳͻͲ݇݃
Remplazamos en la ecuación anterior:
ܽ
ʹǤͳͻͲ݇݃
= 0.65035
݈ݐ
݇݃
՜ ܽ ൌ ʹǤͳͻͲ݇݃ ήͲǤͷͲ͵ͷ
݈ݐ
݇݃
ܣܷܩܣ ൌ ܽ ൌ ͳǤͶͳͻ݈ݐ
Y si no tuviera la relación (a/c) y solo tuviera el diseño:
1 ∶ 2.06 ∶ 2.08 / 27.63
݈ݐ
ܾ݈ݏܽ
Si:
42.5
kg
ܾ݈ܽݏ
→
27.63
lt
ܾ݈ݏܽ
2.182 kg → X
ܣܷܩܣ ൌ ܽ ൌ
2.182 kg ∙ 27.63
lt
ܾ݈ܽݏ
42.5
kg
ܾ݈ݏܽ
ൌ ͳǤͶͳͻ݈ݐ
ENTONCES POR CADA PROBETA NECESITAMOS (en peso).
CEMENTO AG. FINO AG. GRUESO AGUA
1 PROBETA 2.182 kg 4.496 kg 6.110 kg 1.419 lt
4 PROBETAS 8.728 kg 17.984 kg 24.44 kg 5.676 lt