Methods for ultimate limit state assessment of ships and ship-shaped offshore structures: Part II stiffened panels

The present paper is Part II of a series of three papers on methods useful for the ultimate limit state assessment of ships and ship-shaped offshore structures. In contrast to Part I [Paik et al., 2007a. Methods for ultimate limit state assessment of ships and ship-shaped offshore structures: Part I unstiffened plates, Ocean Engineering, doi:10.1016/j.oceaneng.2007.08.004] that deals with unstiffened plates, the present paper (Part II) is focused on methods for the ultimate limit state assessment of stiffened plate structures under combined biaxial compression and lateral pressure actions. The object structure is the bottom part of an AFRAMAX-class hypothetical double-hull oil tanker structure designed by IACS common structural rules (CSR) method, that is the same ship studied in Part I. Three candidate methods, namely ANSYS nonlinear finite element method, DNV PULS method, and ALPS/ULSAP method, are employed for the present study. The results and insights developed from the present study are summarized in terms of ultimate strength characteristics of bottom-stiffened plate structures.     

Evaluation of drainage networks under moving storms utilizing the equivalent stationary storms

This paper investigates the effect of rainstorm movement on the peak discharge response (PDR) of drainage networks by comparing it with the corresponding equivalent stationary and uniform rainfall. A synthetic circular watershed is introduced to avoid biases from interaction between catchment geometry and storm orientation. The drainage network of the watershed is simulated by the Gibbsian model to examine the effect of network configuration on the peak response depending on the storm kinematics. This study utilizes two types of the equivalent stationary storm (ESS): the average rainfall intensity over the entire catchment (ESSAV) and the point stationary rainfall intensity (ESSQ) to evaluate the effect of moving rainstorms in terms of the PDR. The results show that there exists an interval in which the same rainfall duration produces higher peak responses for moving storms compared with ESSQ. The augmentation of the peak response by moving rainstorm is dependent on the relative rainstorm speed, size, and direction as well as drainage network configuration of the catchment; especially, the results show that a less efficient network tends to mitigate the effect of rainstorm movement on peak response. In contrast, a more efficient network is more sensitive to storm kinematics and the peak response increases compared with ESS. Therefore, the results in this study imply a potential improvement in urban drainage networks in terms of efficiency as well as safety to moving rainstorms. Also, this study suggests the range of variation in peak flows due to storm kinematics compared with the ESS, which can be a reference to the current design practices.     

Interoperable information model for geovisualization and interaction in XR environments

ABSTRACT

Since the vision of a Digital Earth (DE) was introduced in 1998, geo-browsers seem to have nearly fulfilled this vision. Virtual reality (VR) for visualizing the DE provides an immersive user experience in a mirror world. Location-based augmented reality (AR) browsers have been introduced and provide content according to user and environmental contexts. However, the content models of traditional geo-browsers and AR browsers have very limited interoperability, because they are described in application-specific formats using their domain standards. Each application is vertically integrated from content to application. The Web is an interoperable and open platform, and hundreds of millions of users are already using it to create and share content. To envision DE browsers for cross-reality (XR) environments that concurrently support geovisualization as well as VR, AR, and mixed-reality environments, we propose a DE content model based on Web standards and architecture that provides full interoperability and openness for XR browsers as a first-class citizen of the Web. This is expected to improve the DE content development efficiency by fully using the Web content development environment.     

Using urban effect corrected temperature data and a tree phenology model to project geographical shift of cherry flowering date in South Korea

Temperate zone deciduous tree phenology may be vulnerable to projected temperature change, and associated geographical impact is of concern to ecologists. Although many phenology models have been introduced to evaluate climate change impact, there has been little attempt to show the spatial variation across a geographical region due to contamination by the urban heat island (UHI) effect as well as the insufficient spatial resolution of temperature data. We present a practical method for assessing climate change impact on tree phenology at spatial scales sufficient to accommodate the UHI effect. A thermal time-based two-step phenological model was adapted to simulate and project flowering dates of Japanese cherry (Prunus serrulata var. spontanea) in South Korea under the changing climates. The model consists of two sequential periods: the rest period described by chilling requirements and the forcing period described by heating requirements. Daily maximum and minimum temperature are used to calculate daily chill units until a pre-determined chilling requirement for rest release is met. After the projected rest release date, daily heat units (growing degree days) are accumulated until a pre-determined heating requirement for flowering is achieved. Model parameters were derived from the observed bud-burst and flowering dates of cherry tree at the Seoul station of the Korea Meteorological Administration (KMA), along with daily temperature data for 1923–1948. The model was validated using the observed data at 18 locations across South Korea during 1955–2004 with a root mean square error of 5.1 days. This model was used to project flowering dates of Japanese cherry in South Korea from 1941 to 2100. Gridded data sets of daily maximum and minimum temperature with a 270 m grid spacing were prepared for the climatological normal years 1941–1970 and 1971–2000 based on observations at 56 KMA stations and a geospatial interpolation scheme for correcting urban heat island effect as well as elevation effect. We obtained a 25 km-resolution, 2011–2100 temperature projection data set covering peninsular Korea under the auspices of the Inter-governmental Panel on Climate Change—Special Report on Emission Scenarios A2 from the Meteorological Research Institute of KMA. The data set was converted to 270 m gridded data for the climatological years 2011–2040, 2041–2070 and 2071–2100. The phenology model was run by the gridded daily maximum and minimum temperature data sets, each representing climatological normal years for 1941–1970, 1971–2000, 2011–2040, 2041–2070, and 2071–2100. According to the model calculation, the spatially averaged flowering date for the 1971–2000 normal is earlier than that for 1941–1970 by 5.2 days. Compared with the current normal (1971–2000), flowering of Japanese cherry is expected to be earlier by 9, 21, and 29 days in the future normal years 2011–2040, 2041–2070, and 2071–2100, respectively. Southern coastal areas might experience springs with incomplete or even no flowering caused by insufficient chilling required for breaking bud dormancy.     

Evaluation of reliquefaction resistance using shaking table tests

Cases of modern and prehistoric liquefaction illustrate that sand deposits can be liquefied again (or “reliquefied”) by a subsequent earthquake after initially liquefying during seismic shaking. In order to test the validity of two postulates regarding reliquefaction mechanisms and to examine the role of gradational characteristics on reliquefaction resistance, 1 g shaking table tests were performed using five sands with differing gradation characteristics. The test results demonstrate that the number of cycles required to reliquefy each sand decreased significantly following the 1st liquefaction event as a result of destroying the “aged” sand fabric developed prior to the 1st shaking event via secondary compression of the initially loose sands. Reliquefaction resistance correlated reasonably well with a proxy for c_v (∝D₁₀²D_r^2.8), illustrating that both the permeability and compressibility of the sand play significant roles in the post-liquefaction fabric (and hence reliquefaction resistance) formed by a sand. While the initial decrease in reliquefaction resistance supports both the Oda et al. [8] and the Olson et al. [5] reliquefaction postulates, only the Olson et al. [5] postulate reasonably explains the subsequent, large increase in reliquefaction resistance observed during the 3rd through 5th shaking events. These tests suggest that the coefficient of consolidation, c_v=k_v/γ_wm_v (or proxy values such as D₁₀²D_r^2.8 or D₁₀/C_U) may be a useful tool for evaluating reliquefaction potential in forward and inverse (i.e., paleoliquefaction) analysis.     

Theoretical calculations of interactions between urban breezes and mountain slope winds in the presence of basic-state wind

Theoretical and Applied Climatology - Many big cities around the world are located near mountains. In city-mountain regions, thermally and topographically forced local winds are produced and they...     

Conditional bias-penalized kriging (CBPK)

Simple and ordinary kriging, or SK and OK, respectively, represent the best linear unbiased estimator in the unconditional sense in that they minimize the unconditional (on the unknown truth) error variance and are unbiased in the unconditional mean. However, because the above properties hold only in the unconditional sense, kriging estimates are generally subject to conditional biases that, depending on the application, may be unacceptably large. For example, when used for precipitation estimation using rain gauge data, kriging tends to significantly underestimate large precipitation and, albeit less consequentially, overestimate small precipitation. In this work, we describe an extremely simple extension to SK or OK, referred to herein as conditional bias-penalized kriging (CBPK), which minimizes conditional bias in addition to unconditional error variance. For comparative evaluation of CBPK, we carried out numerical experiments in which normal and lognormal random fields of varying spatial correlation scale and rain gauge network density are synthetically generated, and the kriging estimates are cross-validated. For generalization and potential application in other optimal estimation techniques, we also derive CBPK in the framework of classical optimal linear estimation theory.     

Responsive geo-referenced content visualization based on a user interest model and level of detail

With steady growth in the deployment of sensor networks and widespread usage of mobile devices, the production of geo-referenced data is increasing exponentially, while analysis of the data typically uses a variety of application services on the Internet for activities such as logging and driving. This geo-referenced content needs to be classified and organized according to user interest for location-based decision-making. In this study, we define a user interest model and propose a method for organizing and presenting content based on the model. Our approach reconstructs geo-referenced content from a variety of sources based on points of interest organized by the user interest model. We present typical cases of using the proposed method, including a theme park resort, personal weather stations, and travel planning to show how the proposed method facilitates user decision-making based on the geo-referenced content.     

Hydroclimatic controls on dissolved organic matter (DOM) characteristics and implications for trace metal transport in Hwangryong River Watershed,Korea, during a summer monsoon period

Frequent heavy rainfalls during the East Asian summer monsoon drastically increase water flow and chemical loadings to surface waters. A solid understanding of hydroclimatic controls on watershed biogeochemical processes is crucial for water quality control during the monsoon period. We investigated spatio‐temporal variations in the concentrations and spectroscopic properties of dissolved organic matter (DOM) and the concentrations of trace metals in Hwangryong River, Korea, during a summer period from the relatively dry month of June through the following months with heavy rainfall. DOM and its spectroscopic properties differed spatially along the river, and also depended on storm and flow characteristics around each sampling time. At a headwater stream draining a forested watershed, the concentrations (measured as dissolved organic carbon (DOC)), aromaticity (measured as specific UV absorbance at 254 nm), and fulvic acid‐ and protein‐like fluorescence of DOM were higher in stormflow than in baseflow waters. DOC concentrations and fluorescence intensities increased along the downstream rural and urban sites, in which DOC and fluorescence were not higher in stormflow waters, except for the ‘first flush’ at the urban site. The response of DOM in reservoir waters to monsoon rainfalls differed from that of stream and river waters, as illustrated by storm‐induced increases in DOM aromaticity and fulvic‐like fluorescence, and no significant changes in protein‐like fluorescence. The results suggest that surface water DOM and its spectroscopic properties differentially respond to changes in hydroclimatic conditions, depending on watershed characteristics and the influence of anthropogenic organic matter loadings. DOC concentrations and intensities of spectroscopic parameters were positively correlated with some of the measured trace metals (As, Co, and Fe). Further research will be needed to obtain a better understanding of climate effects on the interaction between DOM and trace metals. Copyright © 2006 John Wiley & Sons, Ltd.