Probabilistic Analysis and Time Variation Model of Concrete Compressive Strength in Existing Buildings-Reference-Cited by-同舟云学术

Probabilistic Analysis and Time Variation Model of Concrete Compressive Strength in Existing Buildings

Published:2023-09 Issue:3 Volume:9 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Yue Qingxia¹^ORCID,Wang Weina²,Zhang Xin³

Affiliation:

1. Professor, School of Civil Engineering, Shandong Jianzhu Univ.; Key Laboratory of Building Structural Retrofitting and Underground Space Engineering, Ministry of Education, Shandong Jianzhu Univ., Jinan 250101, China (corresponding author). ORCID: .

2. Resarch Assistant, School of Civil Engineering, Shandong Jianzhu Univ., Jinan 250101, China.

3. Professor, School of Civil Engineering, Shandong Jianzhu Univ., Jinan 250101, China; Professor, Key Laboratory of Building Structural Retrofitting and Underground Space Engineering, Ministry of Education, Shandong Jianzhu Univ., Jinan 250101, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1071

Reference35 articles.

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2. LOSS OF PRESTRESS, CAMBER AND DEFLECTION OF NON-COMPOSITE AND COMPOSITE PRESTRESSED CONCRETE STRUCTURES

3. Compressive strength degradation and evolution of failure surfaces in compressively preloaded concrete under freeze-thaw cycles;Chen S.;Mater. Res. Innov.,2015

4. Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques;Chou J. S.;ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng.,2011

5. An optimizing BP neural network algorithm based on genetic algorithm

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