Uncertainty Quantification and Structural Reliability Estimation Considering Inspection Data Scarcity-Reference-Cited by-同舟云学术

Uncertainty Quantification and Structural Reliability Estimation Considering Inspection Data Scarcity

Published:2015-06 Issue:2 Volume:1 Page:04015004
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:

Wang Lei¹,Ma Yafei²,Zhang Jianren¹,Zhang Xuhui³,Liu Yongming⁴

Affiliation:

1. Professor, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, No. 960 Wanjiali Rd., Changsha, Hunan 410114, China.

2. Lecturer, Key Laboratory for Safety Control of Bridge Engineering, Ministry of Education and Hunan Province, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, No. 960 Wanjiali Rd., Changsha, Hunan 410114, China (corresponding author).

3. Ph.D. Student, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, No. 960 Wanjiali Rd., Changsha, Hunan 410114, China.

4. Associate Professor, School for Engineering of Matter, Transport and Energy, Arizona State Univ., Tempe, AZ 85281.

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/AJRUA6.0000818

Reference34 articles.

1. An approximation approach for uncertainty quantification using evidence theory

2. Convex Models of Uncertainty in Radial Pulse Buckling of Shells

3. Fuzzy mean–variance–skewness portfolio selection models by interval analysis

4. Seismic fragility estimates for reinforced concrete bridges subject to corrosion

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