Abstract: The hydrothermal effect on the epoxy adhesive with different adhesive thickness was investigated in this study. Moisture conditions induce a significant problem in designing the adhesive joint in many applications. An investigation conducted to study the effects of environmental conditions on the mechanical properties of epoxy adhesive and their influence on the strength of adhesive joint having dissimilar adhesive thicknesses. The experiment also aims to study the performance of adhesive bonded T-joints perforate plate immersed in hot water for 15 minutes. Two environmental conditions were considered,i.e., room temperature and dry (RTD) and elevated water temperature (EWT) at 80°C, 90°C and 100°C. Four adhesive thicknesses were involved specifically 0.5 mm, 1.0 mm, 1.5 mm, and 2.0 mm. The epoxy adhesive with low water absorption resulted in a high value of strength. Maximum T-joint strength was found at epoxy adhesive with a thickness of 1.0 mm and 1.5 mm and 80°C was the optimum water temperature. The behaviour of adhesive strength was regarded as glass transition temperature, Tg.

Abstract: As a nation's cultural heritage, Government committed to maintain traditional shipping preservation. Various studies had been carried out especially in technological aspects so as to guarantee safety and security as well as service improvement. Some of them are safety equipment standards, certification, machinery and so on. The authors then conducted research related to the conformity of engine power and ship’s capacity. Data and informations collected were analyzed using statistical methods to determine the composition of main engine power used in accordance with the traditional ship's capacity. By statistical aproach, result of this research indicated that variable capacity or ship dimensions affected the engine power. However, there were still external factors should be considered such as wave, wind and raw material of the ship which is entirely wood, therefore the engine power needs to be adjusted to these factors. furthermore, current phenomenon regarding the use of automotive engines for ships needed to be watched so as not to cause accidents at sea.

Abstract: Offshore structures are important facilities installed on the seabed or floating in the sea for the purpose of extracting oil and gas from the reservoir beneath the ocean. These structures have to be safe and reliable throughout its service life. The outcome of an offshore structural analysis and design consists of proportioning the elements of a system so that it satisfies various criteria for performance, safety, serviceability, and durability under various loading conditions. However, in real life, the elements of the system are subjected to numerous sources of uncertainty in the load and resistance-related parameters. In this paper, the reliability of a jacket structure installed in offshore of East Coast Malaysia water was analyzed. The loading and resistance variables are determined using the Monte-Carlo simulation method. Then the response surface was developed based on the loading parameters designed to interacts with the structure. The main outcome of this paper is the reliability index, , and its associated probability of failure are presented. It was found the range of reliability index for the structure is between 3.44 to 19.99 and its associated probability of failure of 2.61E-04 and 8.29E-38 respectively.

Abstract: Transport and specifically vehicular traffic is one of the main sources of pollutant emissions in urban areas, which affect the inhabitant’s health and global climate of the planet. Under those circumstances the interest has grown in improving environmental quality. The pedestrian is the central axis of any urban mobility plan, and through these plans, sustainability within the urban environment is ensured. Pedestrian studies take into considerations, walking speed, flow, route choice, delay, gap acceptance, etc. The main objective of the present work is to design, and implement a methodology for studying pedestrian’s flow and the different geometric characteristics in the study area. We compare the pedestrian mobility zones associated with an environmental inventory due to vehicles mobility on each avenue. We apply artificial intelligence techniques to predict pedestrian flow, through artificial neural network model (multilayer network) and a vector support machine model (Kernel machines). The two developed predictive models, both SVM and ANN could be used to model pedestrian flow prediction, where the results show that ANN gives a little better performance and fitness compared to SVM method.