This page provides codes and/or databases for my authored/co-authored journal papers. Each fold indicates the [JournalNameAbbreviation]_CodeNameAbbreviation
MATLAB Codes for calculating a novel seismic intensity measure, FOSID proposed in Wang et al. (2021):
Wang X, Shafieezadeh A, Padgett JE (2021) "FOSID: A fractional order spectrum intensity for probabilistic seismic demand modeling of extended pile-shaft-supported highway bridges under liquefaction and transverse spreading." Bull Earthq Eng 19:2531–2559. https://doi.org/10.1007/s10518-021-01082-4
Python Code of a machine learning model for rapid estimates of multi-level curvature capacity of circular reinforced concrete section in Wang et al. (2022):
Wang X, Yuan X, Feng R, Dong Y (2022) "Data‐driven probabilistic curvature capacity modeling of circular RC columns facilitating seismic fragility analyses of highway bridges." Earthq Eng Resilience, 1, 211–224. https://doi.org/10.1002/eer2.14
Spredsheets for the database and the proposed Classification-Regression Combination Model (CRCM) for ductility index prediction of scoured bridge pile-group foundations at the easy-to-repair limit state, as detailed in Wang et al. (2023):
Wang J, Ye A, and Wang X (2023) “Quantifying easy-to-repair displacement ductility and lateral strength of scoured bridge pile-group foundations in cohesionless soils: A classification-regression combination surrogate model.” Journal of Bridge Engineering, Accepted in press. https://doi.org/10.1061/JBENF2/BEENG-6201
Dataset for multi-level drift ratio capacity estimates of corroded RC circular bridge columns with flexure-failure, as detailed in Xu et al. (202X):
Xu B, Wang X, Yang CS, and Li Y (202X) “Machine learning-aided rapid estimation of multi-level capacity of flexure-identified circular concrete bridge columns with corroded reinforcement.” Journal of Structural Engineering, R1 under review.
MATLAB Codes for calculating a series of novel fractional order seismic intensity measures in Wang et al. (2019):
Wang X, Ye A, Shafieezadeh A, Padgett JE (2019) "Fractional order optimal intensity measures for probabilistic seismic demand modeling of extended pile-shaft-supported bridges in liquefiable and laterally spreading ground." Soil Dyn Earthq Eng 120:301–315. https://doi.org/10.1016/j.soildyn.2019.02.012