Optimization of target safety levels based on community-level objectives

Vamshi Krishna Gudipati, Eun Jeong Cha

Research output: Contribution to conferencePaper

Abstract

Although buildings are designed in accordance with code provisions and local construction practices of the time, earthquakes have caused significant economic losses to communities. This is because of the fact that codes have focused on ensuring life safety of the buildings but not the socioeconomic impact on communities from the damage or loss of functionality of the buildings. This study aims at developing a framework for optimizing the target safety levels of buildings based on community-level objectives. Target safety optimization process requires structural analyses of multiple possible designs of different buildings in a community. This task is computationally demanding if it is done for good accuracy. In lieu of such time-consuming structural analyses, neural networks are used for estimating the responses. The framework is demonstrated with a seismic safety target optimization for a class of mid-rise office buildings with steel moment-resisting frames located in Los Angeles, CA. The obtained optimal target reliability indices are compared with the code recommended values, which are found to be lower than the code recommended values.

Original languageEnglish (US)
StatePublished - Jan 1 2019
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of
Duration: May 26 2019May 30 2019

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
CountryKorea, Republic of
CitySeoul
Period5/26/195/30/19

Fingerprint

Safety
Target
Optimization
Office buildings
Reliability Index
Process Optimization
Earthquakes
Earthquake
Community
Buildings
Steel
Neural networks
Damage
Economics
Neural Networks
Moment
Framework

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

Cite this

Gudipati, V. K., & Cha, E. J. (2019). Optimization of target safety levels based on community-level objectives. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

Optimization of target safety levels based on community-level objectives. / Gudipati, Vamshi Krishna; Cha, Eun Jeong.

2019. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

Research output: Contribution to conferencePaper

Gudipati, VK & Cha, EJ 2019, 'Optimization of target safety levels based on community-level objectives' Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of, 5/26/19 - 5/30/19, .
Gudipati VK, Cha EJ. Optimization of target safety levels based on community-level objectives. 2019. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.
Gudipati, Vamshi Krishna ; Cha, Eun Jeong. / Optimization of target safety levels based on community-level objectives. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.
@conference{e3e418a6243443b1b93c17b874aa80ad,
title = "Optimization of target safety levels based on community-level objectives",
abstract = "Although buildings are designed in accordance with code provisions and local construction practices of the time, earthquakes have caused significant economic losses to communities. This is because of the fact that codes have focused on ensuring life safety of the buildings but not the socioeconomic impact on communities from the damage or loss of functionality of the buildings. This study aims at developing a framework for optimizing the target safety levels of buildings based on community-level objectives. Target safety optimization process requires structural analyses of multiple possible designs of different buildings in a community. This task is computationally demanding if it is done for good accuracy. In lieu of such time-consuming structural analyses, neural networks are used for estimating the responses. The framework is demonstrated with a seismic safety target optimization for a class of mid-rise office buildings with steel moment-resisting frames located in Los Angeles, CA. The obtained optimal target reliability indices are compared with the code recommended values, which are found to be lower than the code recommended values.",
author = "Gudipati, {Vamshi Krishna} and Cha, {Eun Jeong}",
year = "2019",
month = "1",
day = "1",
language = "English (US)",
note = "13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 ; Conference date: 26-05-2019 Through 30-05-2019",

}

TY - CONF

T1 - Optimization of target safety levels based on community-level objectives

AU - Gudipati, Vamshi Krishna

AU - Cha, Eun Jeong

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Although buildings are designed in accordance with code provisions and local construction practices of the time, earthquakes have caused significant economic losses to communities. This is because of the fact that codes have focused on ensuring life safety of the buildings but not the socioeconomic impact on communities from the damage or loss of functionality of the buildings. This study aims at developing a framework for optimizing the target safety levels of buildings based on community-level objectives. Target safety optimization process requires structural analyses of multiple possible designs of different buildings in a community. This task is computationally demanding if it is done for good accuracy. In lieu of such time-consuming structural analyses, neural networks are used for estimating the responses. The framework is demonstrated with a seismic safety target optimization for a class of mid-rise office buildings with steel moment-resisting frames located in Los Angeles, CA. The obtained optimal target reliability indices are compared with the code recommended values, which are found to be lower than the code recommended values.

AB - Although buildings are designed in accordance with code provisions and local construction practices of the time, earthquakes have caused significant economic losses to communities. This is because of the fact that codes have focused on ensuring life safety of the buildings but not the socioeconomic impact on communities from the damage or loss of functionality of the buildings. This study aims at developing a framework for optimizing the target safety levels of buildings based on community-level objectives. Target safety optimization process requires structural analyses of multiple possible designs of different buildings in a community. This task is computationally demanding if it is done for good accuracy. In lieu of such time-consuming structural analyses, neural networks are used for estimating the responses. The framework is demonstrated with a seismic safety target optimization for a class of mid-rise office buildings with steel moment-resisting frames located in Los Angeles, CA. The obtained optimal target reliability indices are compared with the code recommended values, which are found to be lower than the code recommended values.

UR - http://www.scopus.com/inward/record.url?scp=85070951579&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070951579&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85070951579

ER -