DETERMINATION OF AN EMPIRICAL MODEL FOR THE DEFORMATION OF A DAM ON THE BASIS OF THE HYDROSTATIC THRUST AND TEMPERATURE
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): ELENA CASTILLO LÓPEZ , FELIPE PINA GARCIA , RAUL PEREDA GARCIA , JULIO MANUEL DE LUIS RUIZ , RUBEN PEREZ ALVAREZ
Abstract: The deformational control of structures has its main exponent in the geometric control of large dams. Considering the constructive typology, they can suffer deformation, which is function of the hydrostatic thrust and the temperature that supports the dam under usual circumstances. The project designer usually calculates the deformation that the dam will suffer on the basis of thrust and temperature, but this calculation is theoretical, and it must be contrasted with the real data about deformation that are periodically observed in the dam, in order to certificate the adequate evolution of the structure through time. This research work is focused on the determination of an empirical model that allows the calculation of the deformation on the basis of the simultaneous observations of a direct pendulum that have been recorded with the correspondent temperatures during 14 years. This empirical model is later contrasted and validated with the records taken during the subsequent year. Altho
- Publication Date: 16-Dec-2016
- DOI: 10.15224/978-1-63248-114-6-16
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APPLICATION OF GIS AND STATISTICAL MODELLING FOR DENGUE FEVER SURVEILLANCE IN DELHI, INDIA
Published In: 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): MAHESH KUMAR JAT , SHUCHI MALA
Abstract: In recent years, Geographic Information System (GIS) has become popular in the field of epidemiology for the identification of unusual spatial patterns of disease occurrences and monitoring. Over the years, global burden of Dengue Fever has increased drastically. According to WHO (Global Environmental Change, Geneva) report, there is a strong indication of inter-annual variability and link between meteorological factors and infectious diseases such as Dengue Fever and many other vector-borne diseases. Recently, researchers have demonstrated the importance of determining the impact of various meteorological factors on the propagation of the infectious diseases and such impacts will be more pronounced in a climate change scenario. To control the spread of any infectious disease, it is crucial to identify areas with higher disease risk. The present work is aimed at using GIS techniques such as Point Density method and Empirical Bayesian Kriging method to produce optimal spatial distributi
- Publication Date: 16-Dec-2016
- DOI: 10.15224/978-1-63248-114-6-17
- Views: 0
- Downloads: 0