In view of underground cavern the paper presents an inverse displacement analysis method by means of elastic spatial finite element calculation——inverse analysis method of relative displacement.
In the paper, based on viscoelastic foundation beam algorithm, making use of the measured settlement values of all monitoring points during the construction process of lock on soft foundation, viscoelastic parameters of foundation are inverted with direct inverse analysis method.
The main research of the paper as follows:Firstly: Using back analysis method, the value of the internal friction angle and cohesive force values were achieved through the soil pressure value acquired on site, and generalized the regularity.
Thisdisplacement back analysis method cannot determine simultaneously in situ stress andall of the paramenters and can only determine a limited number of them.
The paper briefly describes the range and methods of the research on the stability of frozen wall. Using the Back Analysis Method combining with the model test of frozen wall, the comprehensive study on the stability of frozen wall is firstly carried out by the authors.
In view of underground cavern the paper presents an inverse displacement analysis method by means of elastic spatial finite element calculation——inverse analysis method of relative displacement.
In the paper, based on viscoelastic foundation beam algorithm, making use of the measured settlement values of all monitoring points during the construction process of lock on soft foundation, viscoelastic parameters of foundation are inverted with direct inverse analysis method.
Based on the artificial neural networks,a inverse analysis method is presented to identify both the magnitude and location of the load on bridge structure.
An artificial neural network-based inverse analysis method is developed to estimate the water head variations at all nodes that are not monitored based on the water head variations at the nodes that are monitored.
An inverse analysis method to identify structural physical parameters based on incomplete dynamic responses obtained from the analysis in the time domain is presented by using the evolutionary-simplex algorithm.
Viscoelastic constitutive models are identified from a two order differential model, and effects of information errors on results of inverse analysis are discussed.