Blast Hazard Resilience Using Machine Learning for West Fertilizer Plant Explosion-Reference-Cited by-同舟云学术

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Blast Hazard Resilience Using Machine Learning for West Fertilizer Plant Explosion

Published:2021-10 Issue:5 Volume:35 Page:04021062
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Huang Zhenhua¹^ORCID,Cai Liping²,Kollipara Tejaswi³

Affiliation:

1. Associate Professor, Dept. of Mechanical Engineering, Univ. of North Texas, Denton, TX 76207 (corresponding author). ORCID: .

2. Researcher, Dept. of Mechanical Engineering, Univ. of North Texas, Denton, TX 76207.

3. Research Assistant, Dept. of Mechanical Engineering, Univ. of North Texas, Denton, TX 76207.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001644

Reference38 articles.

1. Probabilistic analysis of stress concentration factors in tubular KT-joints reinforced with internal ring stiffeners under in-plane bending loads

2. Automated variable selection methods for logistic regression produced unstable models for predicting acute myocardial infarction mortality

3. Explosions of ammonium nitrate fertilizer in storage or transportation are preventable accidents

4. The West, Texas, ammonium nitrate explosion: A failure of regulation

5. Assessing the Relationship Between Social Vulnerability and Community Resilience to Hazards

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1. Understanding critical masonry building attributes shaping vulnerability to blast loads: Data-driven insights from the 2020 Beirut explosion;International Journal of Disaster Risk Reduction;2024-08

2. Prediction of the Response of Masonry Walls under Blast Loading Using Artificial Neural Networks;Infrastructures;2023-12-25

3. Finite element analysis of cold-formed steel stud wall subjected to blast load and validated using artificial neural network combined with response surface method;Asian Journal of Civil Engineering;2023-11-27

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