Analytical model for an innovative pile test

1992 ◽  
Vol 29 (4) ◽  
pp. 569-579 ◽  
Author(s):  
M. H. El Naggar ◽  
M. Novak
Keyword(s):  
Mathematical Model ◽  
Bearing Capacity ◽  
Model Parameters ◽  
Pile Driving ◽  
Driving Dynamic ◽  
Pile Capacity ◽  
Pile Test ◽  
Response Dynamic ◽  
Proposed Model ◽  
New Type

In recent years a new type of pile test employing a short-duration load was developed that became known as pile statnamic test. The paper describes a method of dynamic analysis specifically formulated for this test. The aim of the analysis is twofold: to calculate the pile load displacements in such a way that a satisfactory match with the data measured during the test is obtained; and using the model parameters established from this comparison to predict the bearing capacity of the pile. The mathematical model is one-dimensional and accounts for slip as well as energy dissipation in the far field. Unlike the empirical parameters of the Smith model for pile driving analysis, the parameters of the proposed model are, for the most part, directly related to standard geotechnical parameters. The case studies conducted thus far and described in the paper indicate that the proposed mathematical model works very well and that the statnamic test may become a useful tool for pile capacity prediction. Key words : piles, pile driving, dynamic response, dynamic tests, bearing capacity.

Model-Based EEG Analysis: Proposal and Verification of Mathematical Model for Application to Neurotechnology

2019 ◽  
Author(s):  
Kenyu Uehara ◽  
Takashi Saito
Keyword(s):  
Mathematical Model ◽  
Binary Classification ◽  
Least Square ◽  
Mental Condition ◽  
Support Vector ◽  
Model Parameters ◽  
Eeg Analysis ◽  
Analysis Method ◽  
Model Based ◽  
Proposed Model

Abstract We have modeled dynamics of EEG with one degree of freedom nonlinear oscillator and examined the relationship between mental state of humans and model parameters simulating behavior of EEG. At the IMECE conference last year, Our analysis method identified model parameters sequentially so as to match the waveform of experimental EEG data of the alpha band using one second running window. Results of temporal variation of model parameters suggested that the mental condition such as degree of concentration could be directly observed from the dynamics of EEG signal. The method of identifying the model parameters in accordance with the EEG waveform is effective in examining the dynamics of EEG strictly, but it is not suitable for practical use because the analysis (parameter identification) takes a long time. Therefore, the purpose of this study is to test the proposed model-based analysis method for general application as a neurotechnology. The mathematical model used in neuroscience was improved for practical use, and the test was conducted with the cooperation of four subjects. model parameters were experimentally identified approximately every one second by using least square method. We solved a binary classification problem of model parameters using Support Vector Machine. Results show that our proposed model-based EEG analysis is able to discriminate concentration states in various tasks with an accuracy of over 80%.

scholarly journals Reliability prediction of the axial ultimate bearing capacity of piles: A hierarchical Bayesian method

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881105
Author(s):  
Shengliang Lu ◽  
Jie Zhang ◽  
Shirong Zhou ◽  
Ancha Xu
Keyword(s):  
Bearing Capacity ◽  
Soil Layer ◽  
Ultimate Bearing Capacity ◽  
Model Parameters ◽  
Hierarchical Bayesian ◽  
Land Resources ◽  
Proposed Model ◽  
The Mean ◽  
Sea Reclamation ◽  
Hierarchical Bayesian Method

The sea reclamation is one of the efficient ways to alleviate the shortage of land resources due to population growth, and the corresponding axial ultimate bearing capacity of piles has become one of the critical factors for evaluating the performance of the soil layer reclamation work. Many models are used to analyze the testing data. However, these models cannot describe the mean population bearing capacity and unit-to-unit variation simultaneously, and they cannot give the reliability of predicting the axial ultimate bearing capacity of piles. Thus, they are rarely used in practice. In this article, we propose a mixed-effects model, which could overcome the drawback of the models in the literature. A hierarchical Bayesian framework is developed to estimate the model parameters using Gibbs sampling. The proposed model is applied to a real pile dataset collected in silt-rock layer area, and we predict the mean axial bearing capacities under different reliability levels.

scholarly journals A mathematical model for zoonotic transmission of malaria in the Atlantic Forest: Exploring the effects of variations in vector abundance and acrodendrophily

2021 ◽  
Vol 15 (2) ◽  
pp. e0008736
Author(s):  
Antônio Ralph Medeiros-Sousa ◽  
Gabriel Zorello Laporta ◽  
Renato Mendes Coutinho ◽  
Luis Filipe Mucci ◽  
Mauro Toledo Marrelli
Keyword(s):  
Mathematical Model ◽  
Steady State ◽  
Atlantic Forest ◽  
Zoonotic Transmission ◽  
Model Parameters ◽  
Transmission Cycle ◽  
Proposed Model ◽  
Vector Mosquito ◽  
Forest Strata ◽  
Human Infections

Transmission foci of autochthonous malaria caused by Plasmodium vivax-like parasites have frequently been reported in the Atlantic Forest in Southeastern and Southern Brazil. Evidence suggests that malaria is a zoonosis in these areas as human infections by simian Plasmodium species have been detected, and the main vector of malaria in the Atlantic Forest, Anopheles (Kerteszia) cruzii, can blood feed on human and simian hosts. In view of the lack of models that seek to predict the dynamics of zoonotic transmission in this part of the Atlantic Forest, the present study proposes a new deterministic mathematical model that includes a transmission compartment for non-human primates and parameters that take into account vector displacement between the upper and lower forest strata. The effects of variations in the abundance and acrodendrophily of An. cruzii on the prevalence of infected humans in the study area and the basic reproduction number (R0) for malaria were analyzed. The model parameters are based on the literature and fitting of the empirical data. Simulations performed with the model indicate that (1) an increase in the abundance of the vector in relation to the total number of blood-seeking mosquitoes leads to an asymptotic increase in both the proportion of infected individuals at steady state and R0; (2) the proportion of infected humans at steady state is higher when displacement of the vector mosquito between the forest strata increases; and (3) in most scenarios, Plasmodium transmission cannot be sustained only between mosquitoes and humans, which implies that non-human primates play an important role in maintaining the transmission cycle. The proposed model contributes to a better understanding of the dynamics of malaria transmission in the Atlantic Forest.

CAPWAP and Refined Wave Equation Analyses for Driveability Predictions and Capacity Assessment of Offshore Pile Installations

2009 ◽  
Author(s):  
Frank Rausche ◽  
Matt Nagy ◽  
Scott Webster ◽  
Liqun Liang
Keyword(s):  
Wave Equation ◽  
Bearing Capacity ◽  
Dynamic Monitoring ◽  
Capacity Assessment ◽  
Pile Driving ◽  
Soil Resistance ◽  
Driving Dynamic ◽  
Deep Foundation ◽  
Driving System ◽  
Equation Analysis

Open ended pipe piles have to be driven in the offshore environment primarily as platform support piles or as conductor pipes. In either case, deep penetrations have to be achieved. In preparation of these potentially difficult installations, equipment selection and stress control is done by a predictive wave equation analysis. During pile driving, dynamic monitoring combined with CAPWAP signal matching analysis is a preferred method for bearing capacity assessment. After the fact, if dynamic measurements were not provided during pile driving, a wave equation analysis can again help perform a post-installation analysis for bearing capacity assessment, assuming a variety of parameters. Wave equation analyses require a variety of input parameters describing hammer and driving system performance and the pseudo-static and dynamic behavior of the soil. Measurements taken during the installation yield immediate results about hammer and pile performance. Soil resistance parameters can be extracted by careful signal matching analysis. Unfortunately, the measurement and associated analysis results cannot be used without further modification in the wave equation analysis, because the wave equation approach requires simplifications in hammer, driving system and soil models. Thus, a final step is the so-call Refined Wave Equation Analysis which combines all results obtained and produces a best possible match between measurements and analyses. This paper describes the process of the three analysis phases utilizing typical offshore pile installation records. The paper also gives guide lines for this analysis process as well as a summary of limitations. An important part of the paper includes recommendations for and discussion of the modeling of the soil resistance near the open ended pipe bottom. Finally, the paper discusses how the results should be used for greatest benefit of the deep foundation industry.

scholarly journals A mathematical model for human-to-human transmission of COVID-19: a case study for Turkey's data

2021 ◽  
Vol 18 (6) ◽  
pp. 9787-9805
Author(s):  
Süleyman Cengizci ◽  
◽  
Aslıhan Dursun Cengizci ◽  
Ömür Uğur ◽  
◽  
...  
Keyword(s):  
Mathematical Model ◽  
Total Population ◽  
Reproduction Number ◽  
Model Parameters ◽  
The Novel ◽  
Galerkin Finite Element Method ◽  
Galerkin Finite Element ◽  
Proposed Model ◽  
Novel Coronavirus

<abstract><p>In this study, a mathematical model for simulating the human-to-human transmission of the novel coronavirus disease (COVID-19) is presented for Turkey's data. For this purpose, the total population is classified into eight epidemiological compartments, including the super-spreaders. The local stability and sensitivity analysis in terms of the model parameters are discussed, and the basic reproduction number, $ R_{0} $, is derived. The system of nonlinear ordinary differential equations is solved by using the Galerkin finite element method in the FEniCS environment. Furthermore, to guide the interested reader in reproducing the results and/or performing their own simulations, a sample solver is provided. Numerical simulations show that the proposed model is quite convenient for Turkey's data when used with appropriate parameters.</p></abstract>

Methaemoglobin and Carboxyhaemoglobin Formation in Human Blood Due to NOx and CO Exposure: A Mathematical Model

2009 ◽  
Vol 4 (1) ◽  
Author(s):  
Ankit Biyani ◽  
Raj K. Vyas ◽  
Kailash Singh ◽  
Akhilendra B. Gupta ◽  
Sangeeta Vyas ◽  
...  
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Exponential Model ◽  
Invasive Technique ◽  
Model Parameters ◽  
Liquefied Petroleum Gas ◽  
Non Invasive ◽  
Proposed Model ◽  
Co Concentration ◽  
Linear Regression Technique

Combustion of Liquefied Petroleum Gas (LPG) in household kitchens results in the production of several harmful gases including Carbon Monoxide (CO) and Nitrogen Oxides (NOx). In the present work, an attempt has been made to investigate the effect of such gases on the percent oxygen saturation of blood and a nonlinear exponential model has been proposed based on reaction kinetics to quantify the amount of carboxyhaemoglobin and methaemoglobin formed in blood due to such exposures using a non-invasive technique. The model parameters have been estimated by using the experimental data obtained from exposure of the individuals to different concentrations of CO and NOx. Non-linear regression technique has been used in MATLAB® to optimise the objective function. The model has been validated for %COHb concentration in blood and corresponding data for ambient CO concentration reported in literature. The proposed model can be used to find the concentration of methaemoglobin and carboxyhaemoglobin formed in the blood for low exposures.

Development of a Mathematical Model for Natural Gas Permeation through Polymer Nanocomposites at High Pressure and Temperature

2012 ◽  
Vol 21 ◽  
pp. 95-101
Author(s):  
Jimoh K. Adewole ◽  
Ibnelwaleed A. Hussein ◽  
Usamah A. Al-Mubaiyedh
Keyword(s):  
Mathematical Model ◽  
Natural Gas ◽  
Polymer Nanocomposites ◽  
High Density Polyethylene ◽  
Gas Permeation ◽  
Model Parameters ◽  
High Pressure And Temperature ◽  
Gas Concentration ◽  
Proposed Model ◽  
Excellent Description

A mathematical model for predicting the permeability of natural gas in polymer nanocomposites was developed and tested using experimental data. The model takes into account the effects of pressure, temperature, crystallinity and nanoparticle loading. Three model parameters (, and) were obtained. The parameter is a measure of the activation energy, described the effect of nanocomposite loading, and can be used to describe the effect of gas concentration on the. Polymer nanocomposites were prepared using high density polyethylene as polymer matrix and Cloisite 15A as nanoclay. The proposed model was used to predict the permeability of the nanocomposites to pure CH4 and mixed CH4/CO2 gases (containing 80 mol% CH4) at pressures up to about 106 bar and temperatures between 30 to 70°C. Predicted results show that the developed model provides an excellent description of natural gas permeation in pure HDPE and its nanocomposites.

scholarly journals ANALISIS DAYA DUKUNG TIANG AKSIAL TUNGGAL DENGAN METODE STATIS DAN DINAMIS TERHADAP HASIL UJI PILE DRIVING ANALYZE (PDA) PADA PEKERJAAN PONDASI PROYEK JAKARTA BOX TOWER

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Evi Puspita Sari ◽  
Prihantono Prihantono ◽  
Sittati Musalamah
Keyword(s):  
Bearing Capacity ◽  
Calculation Method ◽  
Dynamic Test ◽  
Pile Driving ◽  
Test Results ◽  
Dynamic Calculation ◽  
Pile Capacity ◽  
Test Result

The purpose of this research is to know the ratio of bearing pile capacity with some static and dynamic calculation method to Pile Driving Analyze (PDA) dynamic test result. The analysis uses static calculations using several methods namely, Meyerhoff, Vesic, α Thomlinson, and α Terzaghi, Peck and Mesri methods.Consultant calculation using Reese & Wright method. Dynamic bearing capacity uses jacking pile record  from Hydrolic System Pile Driving (HSPD)  and Pile Driving Analyze test results. The results showed that Reese & Wright method with SPT is the most closely approximated PDA test result with percentage 74,72%; 76.79% and 82.83% for number of pile 310, 368 and 763. While the result of comparison of jacking pile record that most approached PDA is on pile number 638 with a percentage of 82.83%. The largest settlement results are at pile number 310 and 763 with a decrease of 26.3 mm and 25.9 mm with α Vesic+Terzaghi, Peck and Mesri method   

In-Plane Flexible Ring Tire Model—Part 1: Modeling and Parameter Identification

2018 ◽  
Vol 46 (3) ◽  
pp. 174-219 ◽  
Author(s):  
Bin Li ◽  
Xiaobo Yang ◽  
James Yang ◽  
Yunqing Zhang ◽  
Zeyu Ma
Keyword(s):  
Static Load ◽  
Model Parameters ◽  
Tire Model ◽  
Test Results ◽  
Lumped Mass ◽  
Virtual Test ◽  
Proposed Model ◽  
Particle Swarm Method ◽  
Vehicle Dynamic Simulation ◽  
Flexible Ring

ABSTRACT The tire model is essential for accurate and efficient vehicle dynamic simulation. In this article, an in-plane flexible ring tire model is proposed, in which the tire is composed of a rigid rim, a number of discretized lumped mass belt points, and numerous massless tread blocks attached on the belt. One set of tire model parameters is identified by approaching the predicted results with ADAMS® FTire virtual test results for one particular cleat test through the particle swarm method using MATLAB®. Based on the identified parameters, the tire model is further validated by comparing the predicted results with FTire for the static load-deflection tests and other cleat tests. Finally, several important aspects regarding the proposed model are discussed.

THE DEVELOPMENT OF THE MATHEMATICAL MODEL OF PREDICTING THE INDICATORS OF ACCREDITATION OF TECHNICAL UNIVERSITIES IN THE RUSSIAN FEDERATION

2017 ◽  
pp. 27-38
Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov
Keyword(s):  
Mathematical Model ◽  
System Dynamics ◽  
Regression Model ◽  
Oriented Graph ◽  
Real Data ◽  
Educational Process ◽  
Proposed Model ◽  
Linear Differential ◽  
The University ◽  
The Mathematical Model

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.

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