ENERGY DISSIPATING MODES AND DESIGN RECOMMENDATION OF H-SHAPED STEEL BAFFLES SUBJECTED TO BOULDER IMPACT

Flexible barriers are one of the most effective protective structures, which have been widely used for the mitigation of rockfalls. As the only compression members in a flexible barrier system, steel posts maintain the integrity of the interception structure to keep the function of the system. Due to the random trajectories of rockfalls, steel posts may be impacted by boulders directly. The impact scenario may result in the failure of the post and even the collapse of the system. In this paper, firstly, steel baffles were proposed to be an additional structural countermeasure to avoid the direct impact of posts. Secondly, numerical method was adopted to study the structural behaviour of steel baffles under direct boulder impact. Then, an available published experimental test of H-shaped steel beams under drop weight impact loading by others was back analyzed to calibrate the finite element model. Finally, numerical simulations were carried out to investigate the energy dissipating modes and energy dissipating efficiency of the H-shaped steel baffles. The simulation results show that there are three typical energy dissipating modes of H-shaped baffles subjected to boulder impact, namely flexural, local compression buckling and shear buckling. Local compression buckling is the most efficient energy dissipating mode. The thickness of the web of an H-shaped baffle is suggested to be 4 mm and 6 mm for the rated dissipating energy of 50 kJ and 100 kJ, respectively.

Development of an Intelligent Data-Driven System to Recommend Personalized Fashion Design Solutions

In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital solutions rarely deal with key elements used in the fashion industry, including professional knowledge, as well as fashion and functional requirements of the customer and their relations with product technical parameters. Especially, product design plays an essential role in the whole fashion supply chain and should be paid more attention to in the process of digitalization and intelligentization of fashion companies. In this context, we originally developed an interactive fashion and garment design system by systematically integrating a number of data-driven services of garment design recommendation, 3D virtual garment fitting visualization, design knowledge base, and design parameters adjustment. This system enables close interactions between the designer, consumer, and manufacturer around the virtual product corresponding to each design solution. In this way, the complexity of the product design process can drastically be reduced by directly integrating the consumer’s perception and professional designer’s knowledge into the garment computer-aided design (CAD) environment. Furthermore, for a specific consumer profile, the related computations (design solution recommendation and design parameters adjustment) are performed by using a number of intelligent algorithms (BIRCH, adaptive Random Forest algorithms, and association mining) and matching with a formalized design knowledge base. The proposed interactive design system has been implemented and then exposed through the REST API, for designing garments meeting the consumer’s personalized fashion requirements by repeatedly running the cycle of design recommendation—virtual garment fitting—online evaluation of designer and consumer—design parameters adjustment—design knowledge base creation, and updating. The effectiveness of the proposed system has been validated through a business case of personalized men’s shirt design.

Wastewater Treatment and Wood Production of Willow System in Cold Climate

This article studied how wastewater treatment performance of a short rotation forestry system was influenced by the seasonal operational changes under the extreme Mongolian winter conditions. For this reason, two beds planted with Willow (Salix spec.) and Poplar (Populus spec.) trees were operated over a period of two years under two different seasonal conditions: (A) “external winter storage” and (B) “internal winter storage” of pretreated wastewater. For operational condition A, the tree-bed was loaded with wastewater for only 4 summer months. For this operational condition it was considered that the treatment bed was fed with primary treated wastewater, which was stored in a sealed pond during the remaining 8 months. The other Bed B was irrigated throughout the year (12 months) with the same daily loading rate. In winter, the wastewater accumulated as ice in the tree-bed. Bed A, with external winter storage, showed mass removal percentage up to 95%, while the bed with internal winter storage showed mass removal rates up to 86% for pollutants such as COD, BOD5, TN, and TP. A high yield of biomass was recorded for both beds with slight differences. Based on the results, a design recommendation was developed for full-scale systems of short rotation coppice irrigated with wastewater under various operational conditions, which show these systems to be a viable method for treating wastewater and producing biomass for energy production in Mongolia.

Exuberant as Trend Forecast Method for Kertabumi Klinik Sampah Community Plastic Recycling

Recycling movement is such a never- ending campaign. This movement are grown larger in the society whether in individual or group activities. Any of the groups with the same spirit and vision are blurred in the community to achieve wider impact of recycling plastic. One of the active campaigner is Kertabumi Klinik Sampah which well-known in tinkering any of the recycling technique within the communities around Jakarta. Communities under Kertabumi facilitation are encouraged to turned plastic waste into unique and valuable products. Fostering creativity is the idea of this research aiming to observe the possibility of trend design implementation on the plastic recycle product. Exuberant trend forecasting is used as an approach to designing functional and aesthetical aspect on the product. Moreover, the styling result is offered as a design recommendation for the community to develop their product in the future.

Service Redesign General Sharia Insurance – Renewal Account

On present day, sharia insurance industry is having a significant growth yearly. The annual growth is around 3%-5% and potentially could achieve 20% yearly in growth. This research used the current existing service design element problems in sharia insurance industry as the basis for this research. Steps taken in this research is by using service quality in order to get the needs of the customer. The aims of this research are to design the renewal service of insurance in accordance with the customer needs and provide alternative solutions to the problems by conducting the research in one of sharia insurance companies in Indonesia. Further purpose of this study is to implement the renewal service design recommendation that match the customer needs. The methods used in this research are TRIZ with service quality and service blueprint in seeking the current and improved condition. This research also uses service design method as the basic theory in creating high quality service system in accordance to customer requirements and service redesign method for recreating an improved version of the service. The output of this research is the improved service design recommendation mapped in service blueprint. Furthermore, the research also gives alternative solutions on the existing problem which can be applied to the service.