Sheng-Lan Ma

Publications13
h-index6
Citations97
Highly Influential Citations2
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Experimental study and theoretical analysis on slender concrete-filled CFRP–PVC tubular columns
Abstract This paper investigated on the performance of slender concrete-filled carbon fiber-reinforced polymer (CFRP)–PVC tubular columns under axial compression. Four specimens with different… Expand
Two-Stage Damage Identification Based on Modal Strain Energy and Revised Particle Swarm Optimization
This paper presents a novel two-stage damage detection method by integrating modal strain energy and revised particle swarm optimization (RPSO). In the first stage, the modal strain energy change… Expand
Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization
TLDR
This paper proposes a structural damage identification approach based on model updating with electromechanical impedance sensitivity and the sparse regularization technique to identify the structural damage in buildings using a model-based approach. Expand
Structural response recovery based on improved multi-scale principal component analysis considering sensor performance degradation
TLDR
An improved multi-scale principal component analysis approach to recover the structural dynamic response in the time domain from data measured by performance-deteriorated sensors based on a cross-correlation calculation to preserve the true structural vibration behavior. Expand
Influence of a New Form of Bolted Connection on the Mechanical Behaviors of a PC Shear Wall
Structural Damage Detection Considering Sensor Performance Degradation and Measurement Noise Effect
TLDR
The proposed index is the percentage of the extreme value of the largest principal component scores of the generalized likelihood ratio, which not only has excellent noise tolerance but also can distinguish sensor performance degradation from structural damage. Expand
Structural Novelty Detection Based on Adaptive Consensus Data Fusion Algorithm and Wavelet Analysis
TLDR
The high efficiency of the proposed adaptive fusion algorithm in data processing considering uncertainties and unsatisfied performance of some sensors, as well as its accuracy in structural novelty detection are demonstrated. Expand
Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm
TLDR
This chapter presents an improved multi-particle swarm co-evolution optimization algorithm (IMPSCO) to detect structural damage and shows that the proposed methods can not only effectively locate damage location but also accurately quantify the damage severity. Expand
Axial Behavior of CFRP-PVC-Confined Concrete Stubs
Structural Stiffness Identification of Traditional Mortise-Tenon Joints Based on Statistical Process Control Chart
AbstractThis paper proposes a novel index, the extreme value of the largest principal component scores of the generalized likelihood ratio based on the statistical process control chart, to develop...
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