This article describes an estimation method for the hull girder response of a ship due to springing. The linear and nonlinear
springing effects on the hull girder are evaluated. Previous studies on the springing response focused mainly on the symmetric
response, or vertical response. In this article, however, the springing analysis is extended to asymmetric responses, or horizontal
and torsional responses. The Timoshenko beam model was used to calculate the hull girder response and the quadratic strip
method was employed to calculate hydrodynamic forces and moments on the hull. To remove irregular frequencies, a rigid lid
was adopted on the hull free surface level and hydrodynamic coefficients were interpolated for asymptotic values. Applications
to two ships for the symmetric and asymmetric responses were carried out and the effect of springing responses is also discussed. 相似文献
Although premixed charge compression ignition (PCCI) combustion engines are praised for potentially high efficiency and clean
exhaust, experimental engines built to date emit more hydrocarbons (HCs) and carbon monoxide (CO) than the conventional machines.
These compounds are not only strictly controlled components of the exhaust gas of road vehicles but are also an energy loss
indicator. The prime objective of this study was to investigate the major sources of the HCs formed in the combustion chamber
of an experimental PCCI engine in order to suggest some effective technologies for HC reduction. In this study, to explore
the dominant sources of HC emissions in both operation modes, a single cylinder engine was prepared such that it could operate
using either conventional diesel combustion or PCCI combustion. Specifically, the contributions of the top-ring crevice volume
in the combustion chamber and the bulk quenching of the lean mixture were investigated. To understand the influence of the
shape and magnitude of the crevice on HC emissions, the engine was operated with 12 specially prepared pistons with different
top-ring crevices installed one after another. The engine emitted proportionally more HCs as the depth of the crevice increased
as long as the width remained narrower than the prevailing quench distance. The top-ring-crevice-originated exhaust HCs comprised
approximately 31% of the total HC emissions in the baseline condition. In a series of tests to estimate the effects of bulk
quench on exhaust HC emissions, intake air was heated from 300K to 400K in steps of 25K. With the intake air heated, HC and
CO emissions decreased with a gradually diminishing rate to zero at 375K. In conclusion, the most dominant sources of HC emissions
in PCCI engines were the crevice volumes in the combustion chamber and the bulk quenching of the lean mixtures. The key methods
for reducing HC emissions in PCCI engines are minimizing crevice volume in the combustion chamber and maximizing intake air
temperature allowed based on the permissible NOx level. 相似文献
This study compares the optimum designs of center pillar assembly with advanced high-strength steel (AHSS) to that of conventional
steel for crashworthiness and weight reduction in side impacts. A simplified side impact analysis method was used to simulate
the crash behavior of the center pillar assembly with efficient computing time. Thickness optimization aims to perform an
S-shaped deformation of the center pillar toward the cabin to reduce the injury level of a driver in a crash test. Center
pillar members were regarded as an assembly of parts that are fabricated with tailor-welded blanks, and the thickness of each
part was selected as a design variable. The thickness variables of parts that have significant effects on the deformation
mechanism were extracted as the main design variables for thickness optimization based on the results of a sensitivity analysis
with design of experiments. The optimization condition was constructed to induce an S-shaped deformation mode and reduce the
weight of the center pillar assembly. An optimum design was obtained after several iterations with response surface methodology
(RSM). Optimization was first performed with conventional steel and then with AHSS with the same procedure to optimize the
crashworthiness of the center pillar assembly. After thickness optimization, optimum designs were applied to the full vehicle
analysis to evaluate the validity of the optimization scheme with the simplified side impact analysis method. Then, the crashworthiness
of optimum designs with conventional steel and AHSS were compared using the full vehicle analysis. This comparison demonstrates
that AHSS can be more effectively utilized than conventional steel to obtain a lightweight design of an auto-body with enhanced
crashworthiness. 相似文献
The warm shrink fitting process is generally used to assemble automobile transmission parts (shafts/gears). However, this
process causes a deformation in the addendum and dedendum of the gear depending on the fitting interference and gear profile,
and this deformation causes additional noise and vibration between the gears. To address these problems, the warm shrink fitting
process is analyzed by considering the error in the dimensional deformation of the addendum and dedendum found when comparing
the results of a theoretical analysis and finite element analysis (FEA). A correction coefficient that reduces this error
is derived through an analysis of the difference in the cross-sectional area between the shapes used for the theoretical analysis
and that of the actual gear, and a closed-form equation to predict the dimensional deformation of the addendum and dedendum
is proposed. The FEA method is proposed to analyze the thermal-structural-thermal coupled field analysis of the warm shrink
fitting process (heating-fitting-cooling process). To verify the closed-form equation using the correction coefficient, measurements
are made of actual helical gears used in automobile transmissions. The results are in good agreement with those given by the
closed-form equation. 相似文献
To satisfy the global energy demand while accommodating the rapidly increasing consumption rate in its domestic market, Saudi Arabia must develop and implement fuel efficiency programs in many sectors. In the transportation sector, which is a major contributor to fuel consumption and emissions, hybrid electric vehicles (HEVs) could provide a viable solution, but they are not yet available in the Saudi market. Applying the theory of reasoned action (TRA) and an online questionnaire instrument (N = 847), this paper aims to identify the factors that could drive Saudi citizens’ intention to adopt such technology. We find that the TRA is appropriate to describe intention to adopt HEVs in the Saudi context, and that both subjective norms and attitudes are significant in explaining Saudi consumers’ intention, with subjective norms having three times as strong an effect as attitudes. The findings should be useful to relevant Saudi government officials as they develop and implement transportation-related initiatives and policies, as well as to global auto manufacturers and dealers seeking to tap into Saudi Arabia’s prospective HEV market.
Surveys of behavior could benefit from information about people’s relative ranking of choice alternatives. Rank ordered data are often collected in stated preference surveys where respondents are asked to rank hypothetical alternatives (rather than choose a single alternative) to better understand their relative preferences. Despite the widespread interest in collecting data on and modeling people’s preferences for choice alternatives, rank-ordered data are rarely collected in travel surveys and very little progress has been made in the ability to rigorously model such data and obtain reliable parameter estimates. This paper presents a rank ordered probit modeling approach that overcomes limitations associated with prior approaches in analyzing rank ordered data. The efficacy of the rank ordered probit modeling methodology is demonstrated through an application of the model to understand preferences for alternative configurations of autonomous vehicles (AV) using the 2015 Puget Sound Regional Travel Study survey data set. The methodology offers behaviorally intuitive model results with a variety of socio-economic and demographic characteristics, including age, gender, household income, education, employment and household structure, significantly influencing preference for alternative configurations of AV adoption, ownership, and shared usage. The ability to estimate rank ordered probit models offers a pathway for better utilizing rank ordered data to understand preferences and recognize that choices may not be absolute in many instances. 相似文献