Experimental Validation of Relaxation Prediction Models in Concrete

Surface water film thickness is one of the main factors, which affect the vehicle safety on slippery roads. Water film depth is influenced by rainfall intensity, grades, cross slopes, drainage length and pavement texture. This paper reviews the research status and makes some comparative analysis of several pavement water film depth prediction models. An experimental validation has verified and calibrated the existing water film depth prediction models results. The experimental validation of the variable in the slope water flow model has been implemented by means of a small scale physical road model in a rainfall simulator, which is constructed in a laboratory. The results of comparative analysis have shown that in the existing water film depth prediction models, the regression models predict values are more closely than mathematical-physical models. Because under different experimental conditions, the regression model calibration parameters are different. In the case of specific road characteristics for prediction of water film thickness, the model parameters can be calibrated to further improve predicting accuracy.

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Experimental validation of PV power output prediction models

2012 IEEE International Conference on Industrial Technology ◽

10.1109/icit.2012.6210021 ◽

2012 ◽

Cited By ~ 3

Author(s):

A. Coelho ◽

R. Castro

Keyword(s):

Power Output ◽

Experimental Validation ◽

Prediction Models

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Micromechanics-Based Prediction Models and Experimental Validation on Elastic Modulus of Recycled Aggregate Concrete

Sustainability ◽

10.3390/su132011172 ◽

2021 ◽

Vol 13 (20) ◽

pp. 11172

Author(s):

Shirong Yan ◽

Binglei Wang ◽

Yu Sun ◽

Boning Lyu

Keyword(s):

Experimental Data ◽

Elastic Modulus ◽

Experimental Validation ◽

Prediction Models ◽

Recycled Aggregate Concrete ◽

Recycled Aggregate ◽

Aggregate Concrete ◽

Voigt Model ◽

Previous Prediction ◽

Eshelby Method

Elastic modulus is one of the most important mechanical properties of concrete (including recycled aggregate concrete), and it has a notable guiding significance for engineering. There is a lack of micromechanical research on the elastic modulus of recycled aggregate concrete. This paper adopts four models based on micromechanics, including the Voigt model, Reuss model, Eshelby method, and Mori–Tanaka method, to predict the elastic modulus of recycled aggregate concrete. The optimal model is determined by comparing the results of the four models with the experimental data. On this basis, some previous prediction methods for the elastic modulus of concrete are employed to be compared with the most satisfactory models in this paper. Several experimental data from the open literature are also utilized to better illustrate the reliability of the prediction models. It is concluded that the Mori–Tanaka method unfailingly produces more accurate predictions compared to other models. It gives the best overall approximation for various data and has extensive effects in predicting the elastic modulus of RAC. This work may be helpful in promoting the development of micromechanics research in recycled aggregate concrete.

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Force and Torque Modeling for the Drilling of Bone for use in Orthopaedic Haptic Simulation Systems

10.32920/ryerson.14644824.v1 ◽

2021 ◽

Author(s):

Troy MacAvelia

Keyword(s):

Finite Element ◽

Orthopaedic Surgery ◽

Experimental Validation ◽

Prediction Models ◽

Preoperative Planning ◽

Validation Process ◽

Femur Bone ◽

Element Simulation ◽

Haptic Simulation ◽

Simulation Systems

The advent of haptic simulation systems for orthopaedic surgery procedures has provided surgeons with a tool for training and preoperative planning. This is especially true for procedures involving the drilling of bone which requires a great amount of adroitness and experience. One of the potential difficulties with the drilling of bone is the lack of consistent material evacuation from the drill’s flutes as the material tends to clog. This clogging leads to significant increases in force and torque experienced by the surgeon which has not been appropriately addressed by current simulation systems. This thesis proposes several force and torque prediction models that account for this phenomenon. Each of the models was calibrated via experimentation and their accuracy was substantiated through an experimental validation process. As an example of the application of the models, a finite element simulation investigating the effect of drilling forces and moments on the dynamic response of a femur bone was studied.

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Force and Torque Modeling for the Drilling of Bone for use in Orthopaedic Haptic Simulation Systems

10.32920/ryerson.14644824 ◽

2021 ◽

Author(s):

Troy MacAvelia

Keyword(s):

Finite Element ◽

Orthopaedic Surgery ◽

Experimental Validation ◽

Prediction Models ◽

Preoperative Planning ◽

Validation Process ◽

Femur Bone ◽

Element Simulation ◽

Haptic Simulation ◽

Simulation Systems

The advent of haptic simulation systems for orthopaedic surgery procedures has provided surgeons with a tool for training and preoperative planning. This is especially true for procedures involving the drilling of bone which requires a great amount of adroitness and experience. One of the potential difficulties with the drilling of bone is the lack of consistent material evacuation from the drill’s flutes as the material tends to clog. This clogging leads to significant increases in force and torque experienced by the surgeon which has not been appropriately addressed by current simulation systems. This thesis proposes several force and torque prediction models that account for this phenomenon. Each of the models was calibrated via experimentation and their accuracy was substantiated through an experimental validation process. As an example of the application of the models, a finite element simulation investigating the effect of drilling forces and moments on the dynamic response of a femur bone was studied.

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