Structural Engineering International
Call for Abstracts
SEI 2/2018: The Value of Health Monitoring in Structural Performance Assessment
Abstract submission deadline: April 15, 2017
Full manuscript submission: June 15, 2017
The abstract should be a max. of 200 words with 1 figure (optional).
Submit to: https://mc.manuscriptcentral.com/sei
Please refer to SEI Author Guidelines for more information: Click here
Chief Reviewers: Ana Mandic (SEI Editorial Board, Chief Reviewer); Sebastian Thöns and Jose Matos (Guest Reviewers).
Structural Health Monitoring comprises a very wide range of activities, which, through different technologies and algorithms, may provide information about the performance of existing and new structures over their lifecycle. In order to convince infrastructure owners and operators to invest in SHM systems, however, the utility of SHM must be proven by quantifying its value.
The main objective of this SEI issue will be to obtain an overview of the latest scientific advancements and professional activities in the area of structural health monitoring techniques useful and valuable to be implemented in performance assessment strategies and further on in management systems of infrastructures.
We would like to invite authors with different backgrounds and targeted knowledge to submit abstracts related to the following topics:
- Monitoring Based Performance Indicators
Identification of Key Performance indicators for the establishment of quality control plans with the adoption of specific goals, aiming to improve existing performance assessment methods for the efficient management of a single and a network of structures.
- Quantification of the Value of Structural Health Monitoring:
Quantification of the value of structural health monitoring strategies and tools in the fields of structural performance and integrity management modelling, with a particular focus on the treatment of uncertainties.
- Performance Assessment of Existing Structures:
Evaluation of sophisticated methods of collecting, updating and processing data, and their subsequent inclusion in linear and nonlinear analysis methods and in the semi- and full- probabilistic-based reliability analysis.
SUBMIT ABSTRACT AT: http://mc.manuscriptcentral.com/sei
Register at the above website first, then download the abstract submission template and upload your abstract.
The abstract should be a max. of 200 words and 1 figure (optional).