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Unified Overload Method of Slope Stability Analysis Based on Potential Sliding Direction
Haibin Xue,Faning Dang,Xiaotao Yin,Weihua Ding 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.9
The overload method is difficult to be promoted in slope stability analysis for its disunity of loading forms and directions. Based on the traditional overload method and the Strength Reduction Method (SRM) in which the limit equilibrium state of the slope was reached by reducing sliding resisting force without changing the sliding force, a new way to reach the limit equilibrium state of the slope was developed by increasing sliding force without changing resisting force. Referring the loading forms in Gravity Increase Method (GIM) and sliding direction determination in Vector Sum Method (VSM), the theoretical relationship was built between overload coefficient and safety factor of Vector Sum Method (VSM) and the unified overload method based on overall potential sliding direction was proposed. The loading forms and directions were unified by this method, respectively. Sliding surface could be determined while solving the safety factor and the developing direction of overload method in slope stability analysis application was indicated. Three representative slopes with fixed sliding surfaces and two slopes with unknown sliding surfaces were taken as examples to compare results from Limit Equilibrium Method (LEM), Strength Reduction Method (SRM), Vector Sum Method (VSM), Gravity Increase Method (GIM) and overloading method along the horizontal direction with each other. The safety factor resulted from the method proposed in this paper was close to the one from Vector Sum Method (VSM) and the location of sliding surface was close to the one from Strength Reduction Method (SRM). Thus the reliability of the method was testified.
On Deploying Relays for Connected Indoor Sensor Networks
Yanmin Zhu,Cuiyao Xue,Haibin Cai,Jiadi Yu,Lei Ni,Minglu Li,Bo Li 한국통신학회 2014 Journal of communications and networks Vol.16 No.3
This paper considers the crucial problem of deployingwireless relays for achieving a connected wireless sensor networkin indoor environments, an important aspect related to the managementof the sensor network. Several algorithms have been proposedfor ensuring full sensing coverage and network connectivity. These algorithms are not applicable to indoor environments becauseof the complexity of indoor environments, in which a radiosignal can be dramatically degraded by obstacles such as walls.Wefirst prove theoretically that the indoor relay placement problem isNP-hard. We then predict the radio coverage of a given relay deploymentin indoor environments. We consider two practical scenarios;wire-connected relays and radio-connected relays. For thenetwork with wire-connected relays, we propose an efficient greedyalgorithmto compute the deployment locations of relays for achievingthe required coverage percentage. This algorithm is proved toprovide a Hn factor approximation to the theoretical optimum,whereHn = 1+ 12 +· · ·+ 1n = ln(n)+1, and n is the number ofall grid points. In the network with radio-connected relays, relayshave to be connected in an ad hoc mode. We then propose an algorithmbased on the previous algorithm for ensuring the connectivityof relays. Experimental results demonstrate that the proposedalgorithms achieve better performance than baseline algorithms.