Using Pressure Gradient Survey as a Cost-Effective Diagnostic and Decision-Making Tool

2007 ◽  
Author(s):  
T.S. Al-Mousa ◽  
S.K. Mohammad ◽  
A.A. Dashash ◽  
A.J. Al-Mubairik
Author(s):  
Momen R. Mousa ◽  
Mostafa A. Elseifi ◽  
Zhongjie Zhang ◽  
Kevin Gaspard

Preventive maintenance treatments are widely used throughout the United States to extend pavement service life (PSL), and therefore, defer costly rehabilitation activities. However, optimizing the use of these treatments faces several key challenges. First, the benefits resulting from these treatments are not well-defined. Second, there is considerable debate over the optimal timing of these treatments. Third, concerns exist that these treatments may be responsible for moisture damage if the surrounding moisture conditions are not adequately considered before installation. Although significant research has been conducted to address these challenges, few efforts have been directed toward technology transfer and implementation of the research findings. Therefore, the objective of this study was to combine the results of a comprehensive research study addressing these challenges into an enhanced decision-making tool that can be used to select the best maintenance treatment to be applied to an existing asphalt concrete (AC) overlay based on the project conditions. For a given project, this tool will predict the most cost-effective maintenance treatment (crack sealing, chip seal, microsurfacing, or do nothing) to address existing surface distresses without causing moisture damage. The tool will also provide the optimal timing of installation of the recommended treatment. To ensure that the developed tool is practical and simple to use, it was developed using macros in Microsoft Excel. The developed tool is implementation-ready and should be utilized by the relevant Department of Transportation to maximize the benefits from pavement maintenance activities.


1995 ◽  
Vol 32 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Y. Azzout ◽  
S. Barraud ◽  
F. N. Cres ◽  
E. Alfakih

The choice of alternative techniques in urban stormwater drainage (infiltration and detention systems), in the course of a project, is most often made with a poor understanding of site constraints, and the possibilities afforded by these techniques. This gives rise to extra costs and also subsequent malfunctioning. To arrive at feasible choices, we have formalised the decision-making process, taking account of the multiple criteria and the large number of partners involved. At present, we are developing a decision-making tool for alternative techniques in urban stormwater management at the preliminary study stage. The first phase makes it possible to eliminate solutions which are unworkable (elimination phase). It is aimed at the designer. Work on the next phase (the decision-making phase), which is more complex, is in progress. It will make it possible, in collaboration with all the partners involved, to choose a stormwater drainage strategy which will best suit the objectives and the wishes of the partners. It uses multi-criteria methods.


Author(s):  
Guang Zou ◽  
Kian Banisoleiman ◽  
Arturo González

A challenge in marine and offshore engineering is structural integrity management (SIM) of assets such as ships, offshore structures, mooring systems, etc. Due to harsh marine environments, fatigue cracking and corrosion present persistent threats to structural integrity. SIM for such assets is complicated because of a very large number of rewelded plates and joints, for which condition inspections and maintenance are difficult and expensive tasks. Marine SIM needs to take into account uncertainty in material properties, loading characteristics, fatigue models, detection capacities of inspection methods, etc. Optimising inspection and maintenance strategies under uncertainty is therefore vital for effective SIM and cost reductions. This paper proposes a value of information (VoI) computation and Bayesian decision optimisation (BDO) approach to optimal maintenance planning of typical fatigue-prone structural systems under uncertainty. It is shown that the approach can yield optimal maintenance strategies reliably in various maintenance decision making problems or contexts, which are characterized by different cost ratios. It is also shown that there are decision making contexts where inspection information doesn’t add value, and condition based maintenance (CBM) is not cost-effective. The CBM strategy is optimal only in the decision making contexts where VoI > 0. The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.


Author(s):  
J. Shourick ◽  
M. Ahmed ◽  
J. Seneschal ◽  
T. Passeron ◽  
N. Andreux ◽  
...  

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