scholarly journals Nano Material for Highway Infrastructure

10.29007/qhwp ◽  
2018 ◽  
Author(s):  
Darshan Patel ◽  
C. B. Mishra
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Vibration Damping ◽  
Self Healing ◽  
Highway Engineering ◽  
Highway Infrastructure ◽  
Structural Health ◽  
Nano Material ◽  
Self Cleaning

Nanotechnologies are a quickly extending territory of research in highway infrastructure. This is due to self-cleaning, self-vibration damping, structural health monitoring and self-healing properties of it. This paper focuses on the advancement of important nanotechnology and its effect on roadway designing practice is presented for widening vision and inspiring the creativity of highway engineeringkeeping in viewpoint safety, durability, financial aspects and maintainability of the transportation framework of India is considered.

Automated Structural Health Monitoring of Bolted Joints in Railroad Switches

2009 ◽  
Author(s):  
Mana Afshari ◽  
Thomas Marquie´ ◽  
Daniel J. Inman
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Smart Materials ◽  
Bolted Joints ◽  
Self Healing ◽  
Structural Health ◽  
Current Switch ◽  
The United Kingdom ◽  
Rail Systems ◽  
The One

Current switch bolt inspection on rail systems is a labor intensive and sometimes unreliable approach to maintaining the switch integrity. Recent rail accidents in the United Kingdom (Potters Bar in 2002 and Grayrigg in 2007) underscore the need for routine inspections of the switch mechanisms. From the Grayrigg report of 23 February 2007 the main causes of the accident were found to be the loosening and, as a result, the initiation and growth of cracks, and, eventually, rupture of the bolts of the switch bars, especially the one maintaining the switch rails at a correct distance apart. Such findings also resulted from the 2002 crash report but unfortunately frequent visual inspections were not forthcoming. In this paper, an effective method for monitoring the loosening of the switch bolts is described. As the loosening of the bolts further causes the crack formation in the bolted joints, it seems valid to say that the early detection of loosening of bolted joints in railroad switches will be of great importance in eliminating the need for frequent visual inspection by totally automating inspection of the switches’ mechanical condition. The first part of the present paper focuses on the use of smart materials and structures for the health monitoring of bolted joints in railroad switches. It is shown that using the piezoelectric transducers and the impedance-based structural health monitoring technique, the loosening of the bolted joints are detectable. The accuracy in loosening detection is as high as 25 ft-lbs which corresponds to merely 1/10th of a bolt turn. Being able to detect the loosening of the bolted joints in railroad switches, the concept of self-healing bolted joints is applied in the next part in order to automatically retighten the loosened bolts to their prescribed functional conditions.

scholarly journals HIGHWAY INFRASTRUCTURE HEALTH MONITORING USING MICRO-ELECTROMECHANICAL SENSORS AND SYSTEMS (MEMS)

2014 ◽  
Vol 19 (Supplement_1) ◽  
pp. S188-S201 ◽  
Author(s):  
Halil Ceylan ◽  
Kasthurirangan Gopalakrishnan ◽  
Sunghwan Kim ◽  
Peter C. Taylor ◽  
Maxim Prokudin ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Radio Frequency Identification ◽  
Life Cycle Cost ◽  
Construction Material ◽  
Small Scale ◽  
Mems Devices ◽  
Infrastructure Systems ◽  
Highway Infrastructure ◽  
Structural Health

The development of novel “smart” structures by embedding sensing capabilities directly into the construction material during the manufacturing and deployment process has attracted significant attention in autonomous structural health monitoring (SHM). Micro-electromechanical systems (MEMS) provide vast improvements over existing sensing methods in the context of SHM of highway infrastructure systems, including improved system reliability, improved longevity and enhanced system performance, improved safety against natural hazards and vibrations, and a reduction in life cycle cost in both operating and maintaining the infrastructure. Advancements in MEMS technology and wireless sensor networks provide opportunities for long-term, continuous, real-time structural health monitoring of pavements and bridges at low cost within the context of sustainable infrastructure systems. Based on a comprehensive review of literature and vendor survey, the latest information available on off-the-shelf MEMS devices, as well as research prototypes, for bridge, pavement, and traffic applications are synthesized in this paper. In addition, the paper discusses the results of a laboratory study as well as a small-scale field study on the use of a wireless concrete monitoring system based on radio-frequency identification (RFID) technology and off-the-shelf MEMS-based temperature and humidity sensors.

A Novel Self-Healing Optical Fiber Network

2013 ◽  
Vol 330 ◽  
pp. 553-560 ◽  
Author(s):  
Zhi Zhou ◽  
Jian Ping He ◽  
Jin Ping Ou ◽  
Hai Xiao
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Sensor Network ◽  
Health Monitoring ◽  
Large Scale ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Self Healing ◽  
Fiber Network ◽  
Structural Health

The safety and reliability of critical civil infrastructures have been a major concern in all countries around the world. However, structural health monitoring (SHM) still faces a number of challenges, particularly in the area of in-and post-disaster monitoring. In addition, due to the large scale in dimension and complexity in geometry of a typical civil structure, a large number of embedded sensors are required to measure various structural and environmental parameters under normal and extreme conditions. To enhance the survivability of a sensor network for life-cycle structural health monitoring (SHM), this paper presents a novel self-healing sensor network. One Spider Orb-Web or network and one hybrid optical fiber (OF) system by combining the local and distributed OF technologies are designed to enhance the functionality of self-healing. Furthermore, three local self-healing sensor nodes, which use light switches or couplers, are designed to maintain the measuring connectivity at hot stress point. Finally, A simple Brillouin sensing network with self-healing nodes is constructed and then validated by the strain measurements of a three-point bend beam. The results show that by using self-healing sensors nodes, the stress state of the RC beam can be successively detected, even when some sensors fail or when the sensing line is broken.

Structural Health Monitoring Algorithm for Composite Plates using Lamb Wave Response Measured by Piezo Transducers

2019 ◽  
Author(s):  
Luis Eduardo Jaramillo Bustamante ◽  
Edison jair Bejarano sepulveda ◽  
Volnei Tita ◽  
Marcelo Leite Ribeiro
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Composite Plates ◽  
Structural Health ◽  
Wave Response ◽  
Monitoring Algorithm
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