Bayesian‐optimized unsupervised learning approach for structural damage detection

KA Eltouny, X Liang - Computer‐Aided Civil and Infrastructure …, 2021 - Wiley Online Library
Structural health monitoring (SHM) is developing rapidly to fulfill the world's need for resilient
and sustainable communities. Due to the current advancements in machine learning and …

Path integral methods for the probabilistic analysis of nonlinear systems under a white-noise process

M Di Paola, G Alotta - ASCE-ASME Journal of Risk …, 2020 - asmedigitalcollection.asme.org
In this paper, the widely known path integral method, derived from the application of the
Chapman–Kolmogorov equation, is described in details and discussed with reference to the …

Risk-informed digital twin of buildings and infrastructures for sustainable and resilient urban communities

U Alibrandi - ASCE-ASME Journal of Risk and Uncertainty in …, 2022 - ascelibrary.org
The digital twin (DT) is a virtual replica of real-world buildings, processes, structures, people,
and systems created and maintained to answer questions about its physical part, the …

Adaptive subset simulation for time-dependent small failure probability incorporating first failure time and single-loop surrogate model

H Guo, Y Dong, P Gardoni - Structural Safety, 2023 - Elsevier
High-precision time-dependent reliability analysis (TDRA) is essential for small failure
probability estimation and life-cycle design and maintenance for engineering structures of …

Efficient subset simulation for rare-event integrating point-evolution kernel density and adaptive polynomial chaos kriging

H Guo, Y Dong, P Gardoni - Mechanical Systems and Signal Processing, 2022 - Elsevier
Rare-event probability estimation has a wide range of applications, including the design and
manufacture of precision equipment, aerospace systems, and critical industrial and civil …

Kernel density maximum entropy method with generalized moments for evaluating probability distributions, including tails, from a small sample of data

U Alibrandi, KM Mosalam - International Journal for Numerical …, 2018 - Wiley Online Library
In this paper, a novel method to determine the distribution of a random variable from a
sample of data is presented. The approach is called generalized kernel density maximum …

Time-dependent reliability analysis based on point-evolution kernel density estimation: Comprehensive approach with continuous and shock deterioration and …

HY Guo, Y Dong, P Gardoni, XL Gu - ASCE-ASME Journal of Risk …, 2021 - ascelibrary.org
Civil infrastructure may degrade due to the adverse effects of continuous damage (eg,
reinforcement corrosion) and sudden shocks (eg, earthquakes) during its service life. Many …

[HTML][HTML] Novel algorithm for reconstruction of a distribution by fitting its first-four statistical moments

C Dang, J Xu - Applied Mathematical Modelling, 2019 - Elsevier
This paper proposes a novel algorithm to reconstruct an unknown distribution by fitting its
first-four moments to a proper parametrized probability distribution (PPD) model. First, a PPD …

An adaptive polynomial skewed-normal transformation model for distribution reconstruction and reliability evaluation with rare events

J Xu, Z Wu, ZH Lu - Mechanical Systems and Signal Processing, 2022 - Elsevier
Evaluating the failure probabilities with rare events remains a challenging task, especially
when dealing with complex limit state functions with high-dimensional random inputs. To …

A decision support tool for sustainable and resilient building design

U Alibrandi, KM Mosalam - Risk and Reliability Analysis: Theory and …, 2017 - Springer
In this chapter, an integrated approach for a holistic (involving notions of safety, resiliency
and sustainability) building design is presented to select the optimal design alternative …