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Chapter and Conference Paper
Vibration Serviceability Evaluation of a Modular Steel Plate Floor Assembly
Preliminary results of vibration serviceability evaluation of a new, modular steel floor framing system for commercial building structures are presented. The proposed system intends to increase the speed of co...
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Chapter and Conference Paper
Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the opera...
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Chapter and Conference Paper
Generative Adversarial Networks for Labelled Vibration Data Generation
As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more significant for the assessment and evaluation of engineeri...
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Chapter and Conference Paper
Operational Modal Analysis and Finite Element Model Updating of a 53-Story Building
This paper presents Operational Modal Analysis (OMA) and Finite Element (FE) model updating of a tall structure. Located in the West Bay area of Doha (Qatar), the structure was constructed between 2012 and 201...
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Chapter and Conference Paper
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and St...
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Chapter and Conference Paper
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonp...
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Chapter and Conference Paper
An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage...
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Chapter and Conference Paper
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolu...
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Chapter and Conference Paper
Vibrations Assessment of Existing Building Foundations Due to Moving Trains in Underground Tunnels
Train movements generate oscillations that are transmitted as waves through the track support system into its surroundings. The waves reaching nearby structures may cause distractions for humans and/or result ...
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Chapter and Conference Paper
An Overview on Floor Vibration Serviceability Evaluation Methods with a Large Database of Recorded Floor Data
In this paper, the accuracies of four well-established floor vibration evaluation methods developed over the last couple of decades are investigated by comparing predictions with observed acceptability of each...
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Chapter and Conference Paper
Control of Plate Vibrations with Artificial Neural Networks and Piezoelectricity
This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantile...
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Chapter and Conference Paper
Convolutional Neural Networks for Real-Time and Wireless Damage Detection
Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requ...
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Chapter and Conference Paper
Structural Health Monitoring with Self-Organizing Maps and Artificial Neural Networks
The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm ...
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Chapter and Conference Paper
Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications
Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which...
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Chapter and Conference Paper
Nonlinear Dam** in Floor Vibrations Serviceability: Verification on a Laboratory Structure
Dam** is a critical parameter in dynamics of structures which has been proven to be dependent on the amplitude of the applied force on the structure. This is known as nonlinear dam** or amplitude-dependent...
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Chapter and Conference Paper
Vibration Suppression in Metastructures Using Zigzag Inserts Optimized by Genetic Algorithms
Metastructures are known to provide considerable vibration attenuation for mechanical systems. With the optimization of the internal geometry of metastructures, the suppression performance of the host structur...
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Chapter and Conference Paper
Quantification of Structural Damage with Self-Organizing Maps
One of the main tasks in structural health monitoring process is to create reliable algorithms that are capable of translating the measured response into meaningful information reflecting the actual condition ...
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Chapter and Conference Paper
Recent Issues on Stadium Monitoring and Serviceability: A Review
Unlike most of civil engineering structures whose static and dynamic responses are estimated accurately through several codes and guidance, stadiums reserve a distinctive place especially when it comes to thei...
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Chapter and Conference Paper
Genetic Algorithm use for Internally Resonating Lattice Optimization: Case of a Beam-Like Metastructure
Metamaterial inspired structures, or metastructures, are structural members that incorporate periodic or non-periodic inserts. Recently, a new class of metastructures has been introduced which feature chiral l...
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Chapter and Conference Paper
A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring
Researchers have been studying the uncertainties unique to civil infrastructure such as redundancy; nonlinearity; interaction with surrounding; heterogeneity; boundaries and support conditions; structural cont...
