A Review of Studies in Structural Health Monitoring (SHM)

Abstract

India is a country of diversity not only in terms of culture and population but also in terms of landscape ranging from snow-capped mountains to desserts, plateaus, plains and hills. The climatic conditions in India vary from extremely hot to extremely cold resulting in the requirement of different types of constructions in each region subjected to its temperature, geographical and climate conditions. India is a county where thousands of years old buildings are still standing strong despite several changes in various factors over the years, whereas a few years old building collapses more easily, which raises the most important question in our mind regarding the Structural health of buildings over the years and how Well structure health monitoring is done in India. Structural Health Monitoring is defined as a process of identification of damage for aerospace, mechanical and civil infrastructure. Performance of the structures are determined by various factors such as the age of the building, material used, service condition and layout of the structure besides performance, safety, reliability and serviceability are also the crucial points. SHM technology is implemented in various countries like Europe, USA, Korea, Japan etc. for monitoring of large structures. The main aim behind the implementation of SHM is to determine the damage during initiation itself so that the further damage propagation can be ceased by an alarm in the initial stage with the help of continuous monitoring by structurally integrated sensors.

Machine learning methods for multi-rotor UAV structural damage detection based on MEMS sensor

“…6 Structural health monitoring(SHM) as a reliable and effective method for damage detection for structures has been a hot topic in the past few decades. 7 In the early years,the primary method for SHM was visual inspection which is both time-consuming and inaccurate. 8 With the emergence of big data and advanced sensing technology, machine learning (ML) methods have been adopted for SHM and expressed preferable advantages over traditional methods.…”

Impact of management practices on construction productivity in Indian building construction projects: an empirical study1

“…It is growing further as the rate of urbanisation followed by green and brownfield developments will increase (Banawi and Bilec 2014). The construction industry in India is unorganised, and the majority of the workforce employed is uneducated and ignorant to sustainable practices and is driven only by the motive of commercial viability ignoring every other factors such as quality, sustainability, health and safety and operability (Jamil and Fathi 2016;Neelamkavil 2009;Dixit and Sharma 2019). Majority of the construction projects in India is suffering from a delay in construction, over budget, quality and low productivity.…”

Experimental Testing of Two Novel Stress Sensors for SHM of Masonry Structures

“…A permanent monitoring system can be useful to reveal damage and its propagation, supporting decisionmaking to keep safety levels above prescribed thresholds. The idea of monitoring new and existing structures, if applied over a large territorial scale, can produce significant advantages [4][5][6] in controlling safety of strategic and residential buildings, which many times have masonry primary structures, especially in historic cities. In last years, the evolution of low-cost sensors derived from telecommunication industry, the development of high-speed Internet communication, the advent of cloud-based computing and of big data platforms making use of artificial intelligence, provided a new enhanced scenario for structural health monitoring (SHM).…”