Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures

2021 ◽  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Innovative Methods

scholarly journals Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures

2021 ◽  
Vol 11 (3) ◽  
pp. 1140
Author(s):  
Raffaele Zinno ◽  
Serena Artese
Keyword(s):  
Structural Health Monitoring ◽  
21St Century ◽  
Health Monitoring ◽  
Early Years ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Innovative Methods ◽  
Physical Chemical

Starting from the early years of the 21st century, the problem of monitoring the physical–chemical–mechanical conditions of structures and infrastructures for civil use began to be thought in a significantly different way than in the last century [...]

scholarly journals A Time-Domain Structural Damage Detection Method Based on Improved Multiparticle Swarm Coevolution Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Shao-Fei Jiang ◽  
Si-Yao Wu ◽  
Li-Qiang Dong
Keyword(s):  
Structural Health Monitoring ◽  
Damage Detection ◽  
Health Monitoring ◽  
Structural Damage ◽  
Damage Threshold ◽  
Optimization Techniques ◽  
Local Optimum ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Standard Particle Swarm Optimization

Optimization techniques have been applied to structural health monitoring and damage detection of civil infrastructures for two decades. The standard particle swarm optimization (PSO) is easy to fall into the local optimum and such deficiency also exists in the multiparticle swarm coevolution optimization (MPSCO). This paper presents an improved MPSCO algorithm (IMPSCO) firstly and then integrates it with Newmark’s algorithm to localize and quantify the structural damage by using the damage threshold proposed. To validate the proposed method, a numerical simulation and an experimental study of a seven-story steel frame were employed finally, and a comparison was made between the proposed method and the genetic algorithm (GA). The results show threefold: (1) the proposed method not only is capable of localization and quantification of damage, but also has good noise-tolerance; (2) the damage location can be accurately detected using the damage threshold proposed in this paper; and (3) compared with the GA, the IMPSCO algorithm is more efficient and accurate for damage detection problems in general. This implies that the proposed method is applicable and effective in the community of damage detection and structural health monitoring.

Structural health monitoring of civil infrastructure

2006 ◽  
Vol 365 (1851) ◽  
pp. 589-622 ◽  
Author(s):  
J.M.W Brownjohn
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Communication Systems ◽  
State Of The Art ◽  
Civil Infrastructure ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Economic Operation ◽  
History Of ◽  
Computer Based

Structural health monitoring (SHM) is a term increasingly used in the last decade to describe a range of systems implemented on full-scale civil infrastructures and whose purposes are to assist and inform operators about continued ‘fitness for purpose’ of structures under gradual or sudden changes to their state, to learn about either or both of the load and response mechanisms. Arguably, various forms of SHM have been employed in civil infrastructure for at least half a century, but it is only in the last decade or two that computer-based systems are being designed for the purpose of assisting owners/operators of ageing infrastructure with timely information for their continued safe and economic operation. This paper describes the motivations for and recent history of SHM applications to various forms of civil infrastructure and provides case studies on specific types of structure. It ends with a discussion of the present state-of-the-art and future developments in terms of instrumentation, data acquisition, communication systems and data mining and presentation procedures for diagnosis of infrastructural ‘health’.

Augmented Reality-Based Embedded Sensor Location Recognition and Data Visualization Technique for Concrete Structural Health Monitoring

2013 ◽  
Vol 281 ◽  
pp. 593-596
Author(s):  
Woong Ki Park ◽  
Hyun Uk Kim ◽  
Chang Gil Lee ◽  
Seung Hee Park
Keyword(s):  
Structural Health Monitoring ◽  
Data Visualization ◽  
Health Monitoring ◽  
Construction Projects ◽  
Data Access ◽  
Sensor Location ◽  
Location Recognition ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Monitoring Technique

In recent years, numerous mega-sized and complex civil infrastructures are being constructed all over the world. Therefore, more precise construction and maintenance technologies are required for these complicated construction projects. So a variety of sensors-based structural health monitoring (SHM) techniques have been studied, but these techniques could not manage the sensors efficiently access the database obtained from the sensors. Recently, Quick response (QR) code and AR-based data access technologies have been developed. In this paper, an AR-based concrete curing strength monitoring technique for sensor management and efficient access of the measured data is introduced. It is confirmed that the AR-based concrete curing strength monitoring technique is useful for construction process. In addition, it is concluded that both efficient sensor location recognition and data visualization at anytime, anywhere, and any smart PC devices are promising.

Applications of structural health monitoring technology in Asia

2016 ◽  
Vol 16 (3) ◽  
pp. 324-346 ◽  
Author(s):  
Venu Gopal Madhav Annamdas ◽  
Suresh Bhalla ◽  
Chee Kiong Soh
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
International Workshop ◽  
Monitoring Technology ◽  
Underdeveloped Countries ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Land Mass ◽  
Self Powered ◽  
Technological University

Asia is the largest and most populous continent in the world with over 45 million square kilometers of land mass and 4.5 billion people. Asia is characterized by numerous densely populated cities. Structural health monitoring is a non-issue for the underdeveloped countries where basic amenities of survival are more important. However, structural health monitoring is crucial for the developing countries, especially those with densely populated cities like Singapore, Mumbai, and Hong Kong, where any infrastructural failure could be devastating to their society and economy. Structural health monitoring of mechanical and aerospace structures is mostly similar worldwide, but of civil infrastructures could vary due to socio-economic, cultural, geographical, and governmental reasons across countries, and even across states within the same country. This article, which is an enhancement to the keynote paper of the International Workshop on Structural Health Monitoring (IWSHM 2015, Stanford University, USA), presents some of the better known structural health monitoring studies of key civil infrastructures in a few Asian countries. In addition, the authors’ research and applications of structural health monitoring technology carried out at the Nanyang Technological University for civil infrastructures in Singapore are presented. At the end, the authors also discuss recent work on energy harvesting using piezoelectric transducers as an alternative to wired structural health monitoring for automated and self-powered structural health monitoring.

scholarly journals A Review Paper on Importance of SHM System in India

2021 ◽  
Vol 9 (9) ◽  
pp. 1997-2000
Author(s):  
Rohit Gupta
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Health Condition ◽  
Historical Background ◽  
Data Management System ◽  
Measured Parameter ◽  
Structural Health ◽  
Civil Infrastructures ◽  
Historical Structures ◽  
Nuclear Plants

Abstract: India being the home of rich historical background inherits varied amount of historical structures like Taj Mahal (one of the seven wonders), Red fort, Temples etc. Due to their historical importance, it becomes very important to assess health condition of these structures and take the required measures to improve their life. Buildings like stadiums, sports arenas, malls, lifeline structures like hospitals, public buildings which could cause harm to large number of people at a time and are something to be taken care on a regular basis. India also has various ambitious, complex, and critical structure, like nuclear plants, Dams, bridges and tunnels should be mandated with monitoring as their failure cause more losses than any other. Structural health monitoring will help us to achieve increased durability and health of structure, reduced maintenance and improved safety. Health monitoring of civil infrastructures consists of determining by measured parameter, the location and severity of damage in structures and inform us before it became to late. The main goal of SHM is to detect the damage based on the measurement by various types of sensors, locate the geometric position of the damage and quantify the damage so that we can take the necessary action timely and improve the life of the structure. Keywords: Bridge, Structural Health Monitoring (SHM), sensors, data management system, instrumentation scheme, Performance parameters

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