Condition Monitoring System for Rockfall Catch Fences

Al-Budairi, H. , Gao, Z. , Steel, A., Davies, T. and Wheeler, S. (2017) Condition Monitoring System for Rockfall Catch Fences. In: 6th Interdisciplinary Workshop on Rockfall Protection, Barcelona, Spain, 22-24 May 2017, pp. 67-70. ISBN 9788494690945

Al-Budairi, H. , Gao, Z. , Steel, A., Davies, T. and Wheeler, S. (2017) Condition Monitoring System for Rockfall Catch Fences. In: 6th Interdisciplinary Workshop on Rockfall Protection, Barcelona, Spain, 22-24 May 2017, pp. 67-70. ISBN 9788494690945

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Abstract

Rockfall incidents on catch fences along railways are generally monitored by regular site inspections. This inefficient and laborious process cannot ensure a high level of safety be-cause incidents can happen between inspections. An alarm system is needed to signal these events in real-time to prevent accidents. A real-time condition monitoring system (CMS) for rockfall catch fences is currently under development. The proposed CMS is a compact de-vice which is attached to the posts of catch fences: the device is activated by a built-in shock sensor. Proper selection of sensor characteristics is needed in order to provide reliable moni-toring; to prevent the sensor from damage due to overloading and to prevent false alarms. In this study, a finite element model analysis of rockfall catch fences is used to predict CMS sensor requirements by simulating various impact scenarios

Item Type:Conference Proceedings
Keywords:Rockfall monitoring, explicit finite element modelling, shock sensor.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Al-Budairi, Dr Hassan and Wheeler, Professor Simon and Davies, Dr Trevor and Gao, Dr Zhiwei
Authors: Al-Budairi, H., Gao, Z., Steel, A., Davies, T., and Wheeler, S.
Subjects:T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TF Railroad engineering and operation
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
Research Group:Infrastructure and Environment
ISBN:9788494690945
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