Operational modal analysis methods have been proven especially useful to identify existing structures and infrastructures under serviceability conditions. However, the installation of sensing systems for monitoring continuously an ever larger number constructions has motivated significant efforts towards automation available methods. Within this framework, present paper introduces a new paradigm automatic output-only identification linear ambient vibrations, namely intelligent operational...

Free vibration tests are often performed for the dynamic characterization of structural systems and components. In field road bridges monitoring, such require minimal equipment (i.e., a sparse network few sensors, even single one) in order to gather – quickly at low cost some essential information about behavior structure. The experimental free-vibration response is thus processed estimating modal features which, turn, can be useful corroborate or update available numerical models as well...

Abstract: A modified real-coded genetic algorithm to identify the parameters of large structural systems subject dynamic loads is presented in this article. The proposed utilizes several subpopulations and a migration operator with ring topology periodically performed allow interaction between them. For each subpopulation, specialized medley recent operators (crossover mutation) has been adopted briefly discussed. final includes novel based on auto-adaptive asexual reproduction best...

Abstract This study presents the results of a refined numerical investigation meant at understanding time‐dependent cyclic behavior reinforced concrete (RC) bridge columns under chlorides‐induced corrosion. The chloride ingress in cross‐section column is simulated, taking into account effects temperature, humidity, aging, and corrosion‐induced cover cracking. Once partial differential equations governing such multiphysics problem are solved through finite‐element method, loss reinforcement...

The dynamics of roadway bridges crossed by vehicles moving at variable speed has attracted far less attention than that generated travelling constant velocity. Consequently, the role some parameters and combination thereof, as well influence accuracy modelling strategies, are not fully understood yet. Therefore, a large statistical analysis is performed in present study to provide novel insights into dynamic vehicle–bridge interaction (VBI) braking conditions. To this end, an existing...

Wireless monitoring could greatly impact the fields of structural health assessment and infrastructure asset management. A common problem to be tackled in wireless networks is electric power supply, which typically provided by batteries replaced periodically. promising remedy for this issue would harvest ambient energy. Within framework, present paper proposes ambient-induced vibrations bridge structures using a new class piezoelectric textiles. The considered case study an existing...

This work is concerned with modal curvature-based damage detection in slender beam-like structures, whereby the curvatures are computed by numerical differentiation of noisy mode shapes sampled at a finite number measurement points. Within this framework, most common techniques greatly amplify errors and their application leads to unreliable outcomes, especially when large set points considered. Preliminary signal processing, even if beneficial for reducing noise level, does not solve...

This work proposes a novel procedure to guide the development of machine learning models for estimating seismic demand in existing reinforced concrete (RC) buildings. The proposed approach is organized across two scales. A large-scale (nonparametric) model first obtained by means Gaussian Process Regression (GPR) using all candidate building attributes and intensity measures. SHapley Additive exPlanations (SHAP) values are utilized facilitate its interpretation assist rational selection...

The shear capacity of reinforced concrete (RC) beams without stirrups is an important aspect in designing and assessing frame-type buildings. As a consequence, nearly all design codes provide equations for the evaluation strength, mostly derived empirically from experimental data. In this regard, some recent studies have shown that code provisions force might be unfit to capture adequately many trends can become unsafe practical applications. light existing difficulties uncertainties,...

Abstract The outbreak of COVID-19 in Italy took place Lombardia, a densely populated and highly industrialized northern region, spread across the central part according to quite different temporal spatial patterns. In this work, multi-scale territorial analysis pandemic is carried out using various models data-driven approaches. Specifically, logistic regression employed capture evolution total positive cases each region throughout Italy, an enhanced version SIR-type model tuned fit epidemic...

Abstract The rehabilitation of reinforced concrete (RC) bridge columns subjected to chloride‐induced corrosion is addressed in the present paper. proposed strategy based on replacement original external layer made normal‐strength (NSC) with ultra‐high performance fiber (UHPFRC), and it additionally involves substitution existing corroded longitudinal reinforcement new machined steel rebars. This repair technique aims at restoring strength, stiffness, ductility column a short time without...

Steel bars pitting corrosion is an electrochemical process that could seriously jeopardize the reliability of reinforced concrete structures. Even if detailed models exist to predict lifetime element when it subject this environmental attack, their applications present serious limitations undergo, noteworthy sources of, uncertainty many problem parameters. This restriction produce erroneous solutions, especially analysis deals with existing buildings or little information about parameters...

The main objective of this paper is to investigate efficiency and correctness different real-coded genetic algorithms identification criteria in nonlinear system within the framework non-classical techniques. Two conventional have been used, standard algorithm microgenetic algorithm. Moreover, an advanced multispecies has proposed: it combines adaptive rebirth operator, a migration strategy, search space reduction technique. Initially, critical analysis conducted on these soft computing...