There are a significant number of studies into the failure of pile-supported structures exposed to earthquakes, however, there remain a difficulties with the in situ examination of pile response and performance during seismic excitation. A flexible wall barrel, shaking table test method is suitable for investigating pile behavior during an earthquake. Cost, time and difficulties in identifying soil properties accurately in physical models, in addition to the effects of test conditions, have led to the current research where the physical test is replaced by numerical simulation. Many researchers have experienced difficulties in the validation of numerical models and have found that there is a lack of available information in the literature. Thus, developing a practical approach will extend the soil-structure interaction (SSI) database and promote the validation opportunities for studies into pile performance during strong excitations. This study provides an insight into a set of SSI problems and proposes a procedure for calibration of the advanced SSI analysis. A framework is performed to simulate a shaking table test of a model pile-foundation superstructure on soft clay. A variety of model scaling relationships are used to develop an approach that allows observation of the inherent dynamic and non-linear nature of SSI behavior. The three-dimensional, non-linear dynamic response and elastoplastic analysis are included in the simulation. Through the development of finite element analysis (FEA) using ABAQUS software, fully non-linear unidirectional input excitations, which are amplified from the base to the top and are capable of including all of the possible degrees of freedom, are applied to the model. The inertial, kinematic and damping interaction components of the response are also examined. The gap-slap mechanism between soil and pile is a significant aspect to the model. The results are validated using physical test results.
This paper is concerned with the calibration and validation of a numerical procedure for the analysis of pile performance in soft clays during seismic soil–pile–superstructure interaction (SSPSI) scenarios. Currently, there are no widely accepted methods or guidelines. Centrifuge and shaking table model tests are often used to supplement the available field case histories with the data obtained under controlled conditions. This paper presents a new calibration method for establishing a reliable and accurate relationship between full-scale numerical analysis and scaled laboratory tests in a 1g environment. A sophisticated approach to scaling and validating full-scale seismic soil–structure interaction problems is proposed that considers the scaling concept of implied prototypes as well as “modelling of models” techniques that can ensure an excellent level of accuracy. In this study, a new methodology was developed that can provide an accurate, practical, and scientific calibration for the relationship between full-scale numerical analysis and scaled laboratory tests in the 1g environment. The framework can be followed by researchers who intend to validate their seismic soil–structure interaction findings.
Whether the design is done manually or by software, the designer will have difficulty choosing the economic and strength cross section. The designer, in this case, either relies on their experience or resorts to the method of trial and error. Especially for Cantilever beams with a long span as a result of risk deflections, it is exposed. The current theoretical study was performed on rectangular concrete cross sections of different dimensions and subjected to uniformly distributed loads. Based on a previous study, the sections are reinforced with a specific reinforcement ratio. Through an algorithm, Python 3.4 software, and an output file, the permissible deflections for each cross section were calculated according to the ACI 318M-19. Finally, the authors could draw a graph to choose the appropriate cross section for each required beam length in less time and effort.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.