Precast concrete industry: a simulation of its operation and potentials.

Massachusetts Institute of Technology. Dept. of Civil Engineering. Thesis. 1973. Ph.D.MICROFICHE COPY ALSO AVAILABLE IN BARKER ENGINEERING LIBRARY.Numbers 224-233 used twice in paging. Vita.Bibliography: leaves 157-165.Ph.D

Intelligent Monitoring of Seismic Damage in Reinforced Concrete Tunnel Linings.

Abstract not availableJRC.(ISIS)-Institute For Systems, Informatics And Safet

Full-scale laboratory validation of a MEMS-based technology for post-earthquake damage assessment

In this work a new generation of long-term monitoring system, named Memscon, is presented. The Memscon system consists of a set of sensor nodes using custom-developed capacitive MEMS strain and acceleration sensors, a low power wireless network architecture and a low power readout ASIC for a battery life of up to 10 years. The aim of the system is to provide the user information about the safety of reinforced concrete buildings while in service or after a seismic event. After outlining the monitoring system operation principles at both unit and network levels, this paper reports on a validation campaign conducted under laboratory condition on a fullscale reinforced concrete three dimensional frame, instrumented with Memscon technology, undergoing a seismic-like event up to extensive damage and collapse. Finally, a comparison between the performance of Memscon technology and the performance of different tethered measurements system assumed as reference is reported

Micro to nano integration of intelligent wireless sensors networks for structural meso scale applications

Rapid advances in sensing and data transmission techniques, such as Radio Frequency Identification (RFID) technology, Micro-Electro-Mechanical Systems (MEMS), lower power wireless networking and in computation give hopes for a new generation of small, inexpensive, networked sensors that can be distributed on civil and building structures to provide accurate, quantitative information on the physical structure state while in service. This information can be used to assess the structural condition of the monitored facility and aid decision making on rehabilitation so that safety can be attained and rehabilitation costs can be reduced. The aim in EU-funded MEMSCON project was to develop MEMSbased sensors for construction monitoring and to integrate them with a Decision-Support-System (DSS an automatic evaluation software, tol process the measurements and define the condition state, particularly aiming at proactive rehabilitation and rehabilitation after earthquake damage in reinforced concrete buildings . By measuring quantitatively the response of buildings during and after an earthquake, in terms of acceleration and strain become an easy task. based on permanent sensing systems when today the seismic damage is almost exclusively based on visual inspection. To overcome these limitations, MEMCON project aims to produce small size sensing nodes, integrating MEMS-based sensors and an RFID tag in a single package that will be attached to reinforced concrete buildings for life-cycle measurements of acceleration and strain; data that will be transmitted to a remote base station using a wireless interface. DSS will accept input from the sensors to assess the structural condition of the monitored building and to select optimal remedial measures