Abstract: Automobile pedal which is loaded by driver’s input is transmitting load to throttle cable,
braking device and clutch device and controlling automobile. Measuring working condition and
applying equivalent damage are needed for reliability of developing pedal. The measuring working
condition is requiring more investigation with various respects because of widely ranged drivers, road
condition and environmental condition. Additionally, when equivalent damage is applied, there are
not suitable for test condition if equivalent damage is too high level to apply or unused region. In this
study, load history is measured with 95percentile customer. Measured load history is converted to
stress history about critical area of pedal by FEM. There are drawn up histogram of pedal cycles and
load from stress history with rain flow cycle counting method, calculated relative damage of extended
stress history with Palmgren-Miner rule. From the results, calculated total relative damage is applied
to calculation method of test time and load. Calculation method for test condition is carried out with
three methods which are enforcing with total stress by rain flow cycle counting, representative load
and blocked load. Accelerated durability test condition of pedal using with relative damage and
acceleration factors are proposed.
Abstract: The objective of this research was to advance understanding of the cracking process via
laboratory and computational studies and to convey the obtained results in a form that can be
utilized for the prediction of cracking in flexible pavements. The primary purpose of this project
reported herein was to evaluate the effects of tire cords on the fatigue response of asphalt mix and to
develop recommendations for improving the fatigue performance of asphalt pavements. Based on
the results presented in this paper, the indirect tensile strength tests can propose as a simple
performance test for fatigue cracking of asphalt mixture. The results clearly demonstrate a great
potential procedure for the fatigue cracking evaluation of asphalt mixture.
Abstract: In this study, fatigue strength of load-carrying cruciform fillet welded joints were evaluated
using a new method proposed by Yamada, for geometric or structural stress in welded joint, that is,
one-millimeter stress below the surface in the direction corresponding to the expected crack path.
Validity of the method is verified by analyzing fatigue test results for load-carrying cruciform welded
specimens has different size of weld toe radius, leg length and plate thickness reported in
literature. Structural stress concentration factor for 1mm below the surface was calculated by finite
element analysis for each specimen respectively. When compared to the basic fatigue resistance curve
offered by BS7608, the one-millimeter stress method shows conservative evaluation for load-carrying
cruciform fillet welded joints.
Abstract: Ba(MgxNb1-x)O3 nanoparticles were prepared under high temperature and pressure
conditions by precipitation from metal nitrates with aqueous potassium hydroxide. Ba(MgxNb1-x)O3
nanoparticles were obtained in the temperature range of 170185 for 4 h. TEM and X-ray
diffraction patterns showed that the synthesized particles were crystalline. The average size and size
distribution of the synthesized particles were around 100 nm and broad, respectively.
Abstract: This paper presents a method for determining required shear and flexural strengths
associated with structural damage states for various levels of earthquake demand of low-rise RC
buildings having a dual lateral-load resisting system. The interaction curves of the required
strengths are derived for various ductility ratios based on nonlinear dynamic analyses of the singledegree-
of-freedom system. Damage states of buildings controlled by both shear and flexure are
evaluated by the procedure outlined by the Japanese Standard. The proposed method predicts
reasonably well damage sustained by actual buildings during an earthquake. The proposed method
can be used to develop performance-based seismic evaluation and rehabilitation procedures of lowrise
RC buildings having a dual lateral-load resisting system.
Abstract: This paper proposes an efficient structural optimization methods based on the harmony
search (HS) heuristic algorithm that treat integrated discrete sizing and continuous geometric
variables. The recently developed HS algorithm was conceptualized using the musical process of
searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient
search so derivative information is unnecessary. A benchmark truss example is presented to
demonstrate the effectiveness and robustness of the new method, as compared to current
optimization methods. The numerical results reveal that the proposed method is a powerful search
and design optimization technique for structures with discrete member sizes, and may yield better
solutions than those obtained using current methods.
Abstract: Zinc titanate nanoparticles were prepared under high temperature and pressure conditions
by precipitation from metal precursors with aqueous ammonium hydroxide. Zinc titanates powders
were obtained in the temperature range of 180-230 for 4 h. The phase of synthesized particle
with calcined at 800 for 2h. ZnTiO3, Zn2TiO4, Zn2Ti3O8, TiO2, ZnO. The average particle size
and distribution of the synthesized zinc titanate nanoparticles were below 100 nm and narrow,
Abstract: Geometrical and material discontinuities in constructions lead to singular stress
concentrations and consequently to a crack initiation. The model of a bi-material wedge makes it
possible to analyse such construction points to assess their stability. The presented approach is
based on the knowledge of the strain energy density factor distribution in the concentrator vicinity.
Abstract: An approach of damage detection based on ESPI and SVM is proposed. ESPI (Electronic
Speckle Pattern Interferometry) is a non-contacting measuring method, which can measure the small
static and dynamitic surface deformations and reveal the flaws by looking for flaw-induced
deformation anomalies. Support Vector Machine (SVM) is a machine learning algorithm based on
statistical learning theory, and it has recently been established as a powerful tool for classification and
regression problems. To develop the precision of processing the pattern fringe data, the SVM is
introduced to process the patterns corrupted by the laser speckle effect. The SVM is trained with
fringe patterns generated from a finite element model and a simple model of the laser speckle effect.
The output pattern is obtained to flag whether the damage exists or not. The trained SVM is tested
for robustness with model generated test patterns of a flat plate. The results show that this approach is
a promising and effective for damage detection.