This report contains a review of the technical literature concerning the detection, location, and characterization of structural damage via techniques that examine changes in measured structural vibration response. The report first categorizes the methods according to required measured data and analysis technique. The analysis categories include changes in modal frequencies, changes in measured mode shapes (and their derivatives), and changes in measured flexibility coefficients. Methods that use property (stiffness, mass, damping) matrix updating, detection of nonlinear response, and damage detection via neural networks are also summarized. The applications of the various methods to different types of engineering problems are categorized by type of structure and are summarized. The types of structures include beams, trusses, plates, shells, bridges, offshore platforms, other large civil structures, aerospace structures, and composite structures. The report describes the development of the damage-identification methods and applications and summarizes the current state-of-the-art of the technology. The critical issues for future research in the area of damage identification are also discussed.

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Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

This paper provides an overview of methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response. Research in vibration-based damage identification has been rapidly expanding over the last few years. The basic idea behind this technology is that modal parameters (notably frequencies, mode shapes, and modal damping) are functions of the physical properties of the structure (mass, damping, and stiffness). Therefore, changes in the physical properties will cause detectable changes in the modal properties. The motivation for the development of this technology is presented. The methods are categorized according to various criteria such as the level of damage detection provided, model-based versus non-model-based methods, and linear versus nonlinear methods. The methods are also described in general terms including difficulties associated with their implementation and their fidelity. Past, current, and future-planned applications of this technology to actual engineering systems are summarized. The paper concludes with a discussion of critical issues for future research in the area of vibration-based damage identification.

A summary review of vibration-based damage identification methods

A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing...

Vibration-based Damage Identification Methods: A Review and Comparative Study:

Vibration of cracked structures: A state of the art review

This book focuses on structural health monitoring in the context of machine learning. The authors review the technical literature and include case studies. Chapters include: operational evaluation, sensing and data acquisition, introduction to probability and statistics, machine learning and statistical pattern recognition, and data prognosis.

Structural Health Monitoring: A Machine Learning Perspective

Anthracnose, caused by the fungus Colletotrichum lindemuthianum, is one of the devastating disease affecting common bean production and productivity worldwide. Several quantitative trait loci (QTLs) for anthracnose resistance have been identified. In order to make use of these QTLs in common bean breeding programs, a detailed meta-QTL (MQTL) analysis has been conducted. For the MQTL analysis, 92 QTLs related to anthracnose disease reported in 18 different earlier studies involving 16 mapping populations were compiled and projected on to the consensus map. This meta-analysis led to the identification of 11 MQTLs (each involving QTLs from at least two different studies) on 06 bean chromosomes and 10 QTL hotspots each involving multiple QTLs from an individual study on 07 chromosomes. The confidence interval (CI) of the identified MQTLs was found 3.51 times lower than the CI of initial QTLs. Marker-trait associations (MTAs) reported in published genome-wide association studies (GWAS) were used to validate nine of the 11 identified MQTLs, with MQTL4.1 overlapping with as many as 40 MTAs. Functional annotation of the 11 MQTL regions revealed 1,251 genes including several R genes (such as those encoding for NBS-LRR domain-containing proteins, protein kinases, etc.) and other defense related genes. The MQTLs, QTL hotspots and the potential candidate genes identified during the present study will prove useful in common bean marker-assisted breeding programs and in basic studies involving fine mapping and cloning of genomic regions associated with anthracnose resistance in common beans.

Delineating meta-quantitative trait loci for anthracnose resistance in common bean (Phaseolus vulgaris L.)

Solar photovoltaic (PV) technology has a lower adoption rate than expected because of different weather conditions (sunny, cloudy, windy, rainy, and stormy) and high material manufacturing costs. To overcome the barriers to adoption, many researchers are developing methods to increase its performance. A photovoltaic–thermal absorber hybrid system may shift its performance, but to become more efficient, the technology could improve with some strong thermal absorber materials. A phase change material (PCM) could be a suitable possibility to enhance the (electrical and thermal) PV performance. In this study, a solar PVT hybrid system is developed with a PCM and analyzed for comparative performance based on Malaysian weather conditions. The result shows PV performance (both electrical and thermal) was increased by utilizing PCMs. Electrical and thermal efficiency measurements for different collector configurations are compared, and PV performance and temperature readings are presented and discussed. The maximum electrical and thermal efficiency found for PVT and PVT-PCM are 14.57% and 15.32%, and 75.29% and 86.19%, respectively. However, the present work may provide extensive experimental methods for developing a PVT-PCM hybrid system to enhance electrical and thermal performance and use in different applications.

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A Comparative Investigation on Solar PVT- and PVT-PCM-Based Collector Constancy Performance

Thermal performance analysis of solar box cookers using different fin configurations: An experimental investigation

Luthrodes pandava Horsfield (Lepidoptera: Lycaenidae) has been reported as a pest of cycad plants in the Andaman and Nicobar Islands, India for the first time. Its impact on host species is assessed. Compared to introduced species, endemic cycads appear to be most susceptible to damage by its larvae, feeding on the plant and affecting growth. Larvae damage all above-ground plant parts. C. dharmrajii L. J. Singh and C. pschannae R.C. Srivast. & L. J. Singh, endemic to the Andaman and Nicobar Islands, are recorded here for the first time as new host plants. 

A.K. Pandey

Papers

Delineating meta-quantitative trait loci for anthracnose resistance in common bean (Phaseolus vulgaris L.)

A Comparative Investigation on Solar PVT- and PVT-PCM-Based Collector Constancy Performance

Thermal performance analysis of solar box cookers using different fin configurations: An experimental investigation

New hosts for the cycad blue butterfly, Luthrodes pandava , Horsfield (Lepidoptera: Lycaenidae) in an island ecosystem

Phylogenetic relationships of Indian Memecylon L. (Melastomataceae) based on nrDNA ITS and cpDNA rbcL sequence data