A Risk Management System for Deep Excavation Based on BIM-3DGIS Framework and Optimized Grey Verhulst Model

Pin-Chan Lee,Li-Long Zheng,Tzu-Ping Lo,Danbing Long 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.3

Risk management of deep excavation is always an important issue. One of the core problems is to accurately simulate and predict the time series of displacement collected from the site sensors to monitor the risk variation. Meanwhile, the applications of building information modelling (BIM) and geographic information system (GIS) can integrate the construction structures into the surrounding environment, visualizing various information and supporting decision making for risk treatment. Therefore, this paper proposes a risk management system to monitor the risk variation for deep excavation based on optimized grey Verhulst model (GVMm), BIM-3DGIS framework and risk monitoring. The grey Verhulst model (GVM) has demonstrated well performance on saturation curve, such as displacement of deep excavation. This paper establishes the GVMm by improving GVM to predict the displacement more precisely. BIM-3DGIS framework is also built by integrating BIM and 3DGIS in the application level for the efficiency of system operation and the interaction with the risk management platform. BIM-3DGIS framework, working with the risk management platform, can monitor the risk variation of deep excavation effectively and provide visual decision-making supports. A real case of deep excavation is used as an illustrative example to verify the practicability. The results show that the prediction precision of GVMm is better than that of GVM. The application scenarios also demonstrate the effectiveness of the risk management system.

A Cloud Model-based Knowledge Mapping Method for Historic Building Maintenance based on Building Information Modelling and Ontology

Pin-Chan Lee,Wei Xie,Tzu-Ping Lo,Danbing Long,Xiaofei Tang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.8

The maintenance of historic buildings requires a systematic approach to construct and reuse maintenance knowledge. Maintenance knowledge of historic buildings has extensive and specific knowledge, but a small number of experts provide most of experience. With the rapid development of building information modelling (BIM), it can facilitate maintenance management of historic buildings. Recently, research on connecting ontology and BIM was discussed to promote building knowledge management (BKM). However, BKM is less applied in historic buildings and connection strength is also less discussed. Connection strength of knowledge mapping can increase the performance of knowledge retrieval. Therefore, this study aims to build connection between maintenance ontology of historic buildings and BIM, and also proposes a cloud model-based knowledge mapping method to evaluate the connection strength. This study uses FMEA (failure mode and effects analysis) to connect ontology and BIM, and the grey relational analysis to evaluate the connection strength. Meanwhile, cloud model is integrated into FMEA to better deal with uncertain information to increase the reliability. This study adopts a real case to valid the practicability. The results show the proposed method can evaluate the connection strengths with uncertain information and obtain the maintenance knowledge more efficiently.

Dynamic Analysis of Construction Safety Risk and Visual Tracking of Key Factors based on Behavior-based Safety and Building Information Modeling

Pin-Chan Lee,Junhao Wei,Hsin-I Ting,Tzu-Ping Lo,Danbing Long,Luh-Maan Chang 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.10

Construction has long been seen as a high-risk industry. Many studies conduct risk management by controlling construction risk indicators, but few studies associate risk indicators with time and space to propose long-term risk management methods. Therefore, this study proposes a dynamic analysis and visual tracking method based on behavior-based safety (BBS). This study establishes a BBS observation checklist and records workers’ unsafe behavior. The risk level of unsafe behavior is then determined by grey clustering model. When a high risk occurs, an improved grey correlation model is used to track key indicators that affect risk. In order to achieve visual risk management, this study develops semantic logic to predefine the relationship between components and space. In schedule simulation of BIM, the key indicators of BBS are transformed into an executable visual inspection between work items, components, and space through ARC. This method makes it easier for construction managers to combine time and space to manage safety risk and to adopt appropriate strategies in a timely manner to improve the efficiency of safety management.

An Efficient Design Support System based on Automatic Rule Checking and Case-based Reasoning

Pin-Chan Lee,Tzu-Ping Lo,Ming-Yang Tian,Danbing Long 대한토목학회 2019 KSCE Journal of Civil Engineering Vol.23 No.5

A well building design support system can not only meet the rules but also automatically recommend the appropriate alternatives for designers, but most modifications now are conducted in the manual way. Although the method of automatic rule checking can effectively identify the compliance of rules in Building Information Modeling (BIM) models, recommendation supports are still lacked in applications. This paper aims to propose a design support system, using automatic rule checking to identify the compliance of rules and adopting case-based reasoning to provide recommendations via ontology and semantics. The AHP-TOPSIS (Analytic hierarchy process-Technique for Order Preference by Similarity to an Ideal Solution) method is used to give reliable recommendations rank. A real case is adopted as an illustrative example. Results show that the proposed system can increase the design efficiency in both design checking and modifying. Similar applications can be extended to other fields and rules.

Expression and Purification of Soybean Proglycinins Modified by Protein Engineering

Chan-Shick Kim,Sam-Pin Lee,Se-Kwang Ko,Soon Sean Kang 한국식품과학회 1997 Food Science and Biotechnology Vol.6 No.4

Enhanced Emulsifying Activity of Soybean Proglycinin Modified by Protein Engineering

Chan-Shick Kim,Kyong-Cheol Ko,Sam-Pin Lee 한국식품과학회 1999 Food Science and Biotechnology Vol.8 No.3

Functional Properties of Exopolysaccharide Produced from Zoogloea ramigera 115SLR by Genetic Modification

Sam-Pin Lee,Chan-Shick Kim 한국식품과학회 1999 Food Science and Biotechnology Vol.8 No.2

Characterization of Kombucha Beverages Fermented with Various Teas and Tea Fungus

Sam-Pin Lee,Chan-Shick Kim 한국식품영양과학회 2000 Preventive Nutrition and Food Science Vol.5 No.3

Kombucha beverages were made from sweetened tea by Oriental, European and Tibetan tea fungus starters. The hot water extracts of green tea, black tea, Gugija and Omija were mixed with white and/or brown sugar, and were fermented under a static culture at 30℃. Titrable acidity, pH, color and cellulose production in kombucha beverages were evaluated. All tea fungus starters showed a higher acid production in green/black tea extracts rather than Gugija and Omija extracts. In green/black tea extracts, Oriental tea fungus produced a kombucha beverage with a higher titrable acidity and lower pH than those of European and Tibetan tea fungus starters. By the static fermentation of green/black tea extract for 18 days, Oriental, Tibetan and European tea fungus starters produced cellulose pellicles of 0.43 g, 0.16 g, and 0.19 g (dry weight) on the top in the culture, respectively. As a mother starter, the cellulose pellicle was more efficient in acid production compared with tea fungus broth. Oriental/Tibetan mixed tea fungus showed the best acid production in the green/black tea extract supplemented with brown sugar.

A New In Vitro Assay of Cholesterol Adsorption by Food and Microbial Polysaccharides

Sam-Pin Lee,Han-Sup Soh,Chan-Shick Kim 한국식품영양과학회 2003 Journal of medicinal food Vol.6 No.3

The adsorption of total cholesterol by polysaccharides was measured in vitroby enzymatic reactions, includ-ing the polysaccharide precipitation procedure. Total cholesterol adsorption capacities, in a mixture of polysaccharide and to-tal cholesterol, were compared for apple pectin, gelrite gellan gum, xanthan gum, high-methoxyl pectin, citrus pectin, high-viscous alginate, low-viscous alginate, dextran, and zooglan. Acidic polysaccharides such as pectins, alginate, and xanthangum at concentrations of 0.1% (wt/vol) were able to adsorb over 90% of the total cholesterol when dissolved in distilled wa-ter, sodium acetate buffer (pH 4.6), or sodium phosphate buffer (pH 7.0). However, total cholesterol adsorptions by gellanand zooglan were dependent upon the salt concentration and pH value, which decreased cholesterol adsorption in the fol-lowing order by degree: distilled water, acidic pH, and alkaline pH. In particular, total cholesterol adsorption of zooglan wasgreatly decreased by the addition of sodium chloride. With 0.1% (wt/vol) polysaccharide dissolved in distilled water, the ad-sorption capacities of alginate, pectins, gellan gum, xanthan gum, and zooglan were 2.9, 2.88, 2.5, 2.9, and 2.4 mg/dL, re-spectively. However, 0.2% of zooglan was able to completely adsorb the cholesterol (3 mg/dL), whereas dextran did not ad-sorb cholesterol at all, producing no precipitate with hexadecyltrimethylammonium bromide.

Systematically Studying Dissolution Process of 3D Printed Acrylonitrile Butadiene Styrene (ABS) Mold for Creation of Complex and Fully Transparent Polydimethylsiloxane (PDMS) Fluidic Devices

Chen Pin-Chuan,Chou Ching Chan,Chiang Chung Hsuan 한국바이오칩학회 2021 BioChip Journal Vol.15 No.2

Our major objective in this study was to create complex, three-dimensional, and fully transparent polydimethylsiloxane(PDMS) fluidic device by revising the previously reported fabrication process and to systematically study the influence of each fabrication step to the final PDMS fluidic device. The current fabrication process adopted fused deposition modeling (FDM) 3D printers to create molds of acrylonitrile butadiene styrene (ABS) for use in PDMS casting, then solvent solution was used to dissolve the ABS mold embedded inside the PDMS device and a transparent PDMS device was created for experiments. However, it is quite challenging to ensure the complete removal of ABS molds inside the long, curly, and narrow channels. Ultrasonication was added into our fabrication process to improve the efficacy of dissolving ABS molds inside the channels and conclusions can be derived from these experiments: (1) ultrasonication-assisted dissolution is an effective approach to the complete removal of ABS molds embedded inside these long, curly, and narrow channels (for example, the mixer demonstrated herein had a diameter of 2 mm and length of 162 mm); (2) the application of solvent vapor polishing to 3D-printed molds is highly effective in reducing the surface roughness of the molds (8 ~ 10 μm before polishing to 038 ~ 0.5 μm after polishing) and important to preserve the transparency of the resulting PDMS devices; (3) ensuring the circulation of fresh solvent solution is critical to shorten the dissolution process.