Risk Analysis for Dam Safety Evaluation: Hydrologic Risk.

The brittle failure finite element method is widely used in arch dam safety evaluation, but it also has some problems, the concrete strength criterion is different, the dam failure range is different. This article first introduces brittle failure constitutive relation and three strength criterions, then takes a high arch dam as an example to compute, obtains some conclusions that the relative failure range of foundation plane corresponds to blaxial strength criterion is slightly bigger than the result of uniaxial strength criterion, is almost the same as the result of triaxial strength criterion. Because the influence of the third principal stress is compressed stress to the dam crack is taken into account under multiaxial strength criterion, therefore using multiaxial strength criterion is more reasonable.

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Risk Analysis Techniques for Safety Evaluation of Highway Work Zones

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1715-02 ◽

2000 ◽

Vol 1715 (1) ◽

pp. 10-17 ◽

Cited By ~ 2

Author(s):

Ana Maria Elias ◽

Zohar J. Herbsman

Keyword(s):

Risk Analysis ◽

Safety Evaluation ◽

Highway Safety ◽

Point Of View ◽

Work Zone ◽

Work Zones ◽

Construction Sites ◽

Work Zone Safety ◽

Accident Data ◽

Temporary Closure

Construction sites or work zones create serious disruptions in the normal flow of traffic, resulting in major inconveniences for the traveling public. Furthermore, these work zones create safety hazards that require special consideration. Current legislation and programs, at both state and national levels, emphasize the need for a better understanding of work zone problems to address work zone safety. This reality—coupled with the temporary closure of more miles of highway every year for rehabilitation and maintenance—makes the analysis of safety at construction sites a serious matter. A summary of a comprehensive study associated with the development of a new practical approach to address highway safety in construction zones is presented. Because empirical models require sample sizes that are not attainable due to the intrinsic scarcity of construction zone accident data, the problem was studied from the point of view of risk analysis. Monte Carlo simulations were used to develop risk factors. These factors are meant to be included in the calculations of additional user costs for work zones, or simply applied as risk measurements, to optimize the length and duration of closures for highway reconstruction and rehabilitation projects. In this way, it will be possible to assess the danger of work zones to the traveling public and minimize adverse effect of work zones on highway safety.

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Schematic Development of Risk Analysis for Dam Safety

Journal of The Korean Society of Agricultural Engineers ◽

10.5389/ksae.2016.58.2.011 ◽

2016 ◽

Vol 58 (2) ◽

pp. 11-20

Author(s):

Gun Heo

Keyword(s):

Risk Analysis ◽

Dam Safety

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Dam Safety Reliability Analysis Based on Artificial Neural Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.255-260.3620 ◽

2011 ◽

Vol 255-260 ◽

pp. 3620-3625

Author(s):

Hai Wei ◽

Hua Shu Yang ◽

Liang Wu ◽

Yue Gui

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Water Level ◽

Reliability Index ◽

Safety Evaluation ◽

Mathematic Model ◽

Dam Safety ◽

Reservoir Water ◽

Reservoir Water Level ◽

Artificial Neural

There are many factors, such as climate, flood, material, geology, structure, management, to influence dam safety. So dam safety evaluation, involving many fields, is very complicated, and very difficult to establish mathematic model for assessment. Artificial Neural Network (ANN) has many obvious advantages to deal with these problems influenced by multi-factor, consequently is widely used in engineering fields. This paper considered water level, temperature, main factors influencing dam deformation, as random variables, employed ANN and statistical model to establish performance function of dam hidden trouble deformation and abnormal deformation. Then reliability theory was used to analyze dam safety reliability and sensitivity. The results show that temperature has great effect on probability of dam hidden trouble deformation and abnormal deformation than reservoir water level, due to great variability of temperature. Change of Reliability index of dam is contrary to reservoir water level. Temperature, especially average temperature in 10 days and 5 days, has great effect on sensitivity of reliability index than water level.

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