我国是世界上最大的猪肉生产国,同时也是最大的消费国。猪肉的品质影响着人们摄取蛋白质的质量,目前缺乏有效的快速无损检测方法应对巨大的检测需要。为快速测定冷藏猪肉挥发性盐基氮(TVB-N)、pH值和含水率,提出一种新的猪肉品质检测方...我国是世界上最大的猪肉生产国,同时也是最大的消费国。猪肉的品质影响着人们摄取蛋白质的质量,目前缺乏有效的快速无损检测方法应对巨大的检测需要。为快速测定冷藏猪肉挥发性盐基氮(TVB-N)、pH值和含水率,提出一种新的猪肉品质检测方法,利用近红外光谱技术结合化学计量学方法建立冷藏猪肉TVB-N、pH值和含水率的数学模型。以不同种类的白条猪肉为研究对象,选择排酸完成后的猪最长背部肌肉的切块,采集相应猪肉近红外光谱数据并结合化学计量学试验获取TVB-N、pH和含水率的测量值,对比分析采集到的光谱信息和理化指标,发现在8600~8450、7160~6950、5300~5000 cm^(-1)区域出现显著的吸收峰,而8600~8450 cm^(-1)附近吸收峰的峰值却明显小于其他吸收峰。使用SPXY(sample set partitioning based on joint X-Y distances)算法进行数据集划分,将数据集按照3∶1的比例划分成训练集和测试集。使用蒙特卡罗交叉验证法(MCCV)剔除异常数据,通过偏最小二乘法回归(PLSR)建立TVB-N、pH值、含水率和全波段光谱信息的回归关系。利用数据中心化、Savitzky-Golay(S-G)一阶求导、S-G二阶求导、直接差分二阶求导和多元散射校正等方法对原始光谱进行预处理,探寻合适的预处理方式。结果显示:数据中心化、直接差分二阶求导、二阶求导取得较优的试验效果;故结合竞争性自适应重加权算法(CARS)、非信息变量剔除(UVE)、连续投影算法(SPA)等特征波长提取算法建立PLSR特征波段模型并进行分析。结果显示,TVB-N、pH值、含水率的预测模型结构分别为数据中心化-CARS-PLSR、直接差分二阶求导-CARS-PLSR、二阶求导-CARS-PLSR时具有优异的性能,其中训练集相关系数RC分别为0.9471、0.9988、0.9971,均方根误差(RMSE)分别为1.2088、0.0087、0.0015;测试集相关系数RP分别为0.9275、0.9630、0.9459,RMSE分别为1.6836、0.0517、0.0056。综上可知,近红外波段区域与猪肉TVB-N、pH值、含水率存在显著相关性,利用近红外光谱可以准确预测猪肉中TVB-N、pH值和含水率。展开更多
This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on b...This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on bridge seismic response has been conducted, considering the influence of vehicle modeling strategies and dynamic characteristics of the seismic waves. For this purpose, the performance of a long-span cable-stayed railway bridge is assessed with stationary trains atop it, where the heavy-haul vehicles are modeled in two different ways: the multi-rigid body model with suspension system and additional mass model. Comparison of the bridge response in the presence or absence of the train system has been conducted, and the vehicle loading situation, which includes full-load and no-load, is also discussed. The result shows that during the earthquake, the peak moment of the main girder and peak stress of stay cables increase by 80% and by 40% in the presence of fully loaded heavy-haul trains, respectively. At the same time, a considerable decrease appears in the peak acceleration of the main girder. This proves the existence of the damping effect of the heavy-haul train system, and this effect is more obvious for the fully loaded vehicles. Finally, this paper proposes an efficient vehicle modeling method with 2 degrees of freedom(DOF) for simplifying the treatment of the train system in bridge seismic checking.展开更多
文摘我国是世界上最大的猪肉生产国,同时也是最大的消费国。猪肉的品质影响着人们摄取蛋白质的质量,目前缺乏有效的快速无损检测方法应对巨大的检测需要。为快速测定冷藏猪肉挥发性盐基氮(TVB-N)、pH值和含水率,提出一种新的猪肉品质检测方法,利用近红外光谱技术结合化学计量学方法建立冷藏猪肉TVB-N、pH值和含水率的数学模型。以不同种类的白条猪肉为研究对象,选择排酸完成后的猪最长背部肌肉的切块,采集相应猪肉近红外光谱数据并结合化学计量学试验获取TVB-N、pH和含水率的测量值,对比分析采集到的光谱信息和理化指标,发现在8600~8450、7160~6950、5300~5000 cm^(-1)区域出现显著的吸收峰,而8600~8450 cm^(-1)附近吸收峰的峰值却明显小于其他吸收峰。使用SPXY(sample set partitioning based on joint X-Y distances)算法进行数据集划分,将数据集按照3∶1的比例划分成训练集和测试集。使用蒙特卡罗交叉验证法(MCCV)剔除异常数据,通过偏最小二乘法回归(PLSR)建立TVB-N、pH值、含水率和全波段光谱信息的回归关系。利用数据中心化、Savitzky-Golay(S-G)一阶求导、S-G二阶求导、直接差分二阶求导和多元散射校正等方法对原始光谱进行预处理,探寻合适的预处理方式。结果显示:数据中心化、直接差分二阶求导、二阶求导取得较优的试验效果;故结合竞争性自适应重加权算法(CARS)、非信息变量剔除(UVE)、连续投影算法(SPA)等特征波长提取算法建立PLSR特征波段模型并进行分析。结果显示,TVB-N、pH值、含水率的预测模型结构分别为数据中心化-CARS-PLSR、直接差分二阶求导-CARS-PLSR、二阶求导-CARS-PLSR时具有优异的性能,其中训练集相关系数RC分别为0.9471、0.9988、0.9971,均方根误差(RMSE)分别为1.2088、0.0087、0.0015;测试集相关系数RP分别为0.9275、0.9630、0.9459,RMSE分别为1.6836、0.0517、0.0056。综上可知,近红外波段区域与猪肉TVB-N、pH值、含水率存在显著相关性,利用近红外光谱可以准确预测猪肉中TVB-N、pH值和含水率。
基金Project(2022YFB2603301) supported by the National Key R&D Program of ChinaProject(52078498) supported by the National Natural Science Foundation of China+3 种基金Project(2022JJ30745) supported by the Natural Science Foundation of Hunan Province of ChinaProject(2020TJ-Q19) supported by the Hunan Provincial Science and Technology Promotion Talent Project,ChinaProject(2023QYJC006) supported by the Frontier Cross Research Project of Central South University,ChinaProject(2021-Special-04-2) supported by the Science and Technology Research and Development Program Project of China Railway Group Limited。
基金Project(52078498)supported by the National Natural Science Foundation of ChinaProject(2021-Special-04-2)supported by the Science and Technology Research and Development Program Project of China Railway Group Limited+2 种基金Project(2022JJ30745)supported by the Natural Science Foundation of Hunan Province,ChinaProject(2023QYJC006)supported by the Frontier Cross Research Project of Central South University,ChinaProject(2020TJQ19)supported by the Hunan Provincial Science and Technology Promotion Talent Project,China。
基金Project(51678576) supported by the National Natural Science Foundation of ChinaProject(2017YFB1201204) supported by the National Key R&D Program of China。
文摘This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on bridge seismic response has been conducted, considering the influence of vehicle modeling strategies and dynamic characteristics of the seismic waves. For this purpose, the performance of a long-span cable-stayed railway bridge is assessed with stationary trains atop it, where the heavy-haul vehicles are modeled in two different ways: the multi-rigid body model with suspension system and additional mass model. Comparison of the bridge response in the presence or absence of the train system has been conducted, and the vehicle loading situation, which includes full-load and no-load, is also discussed. The result shows that during the earthquake, the peak moment of the main girder and peak stress of stay cables increase by 80% and by 40% in the presence of fully loaded heavy-haul trains, respectively. At the same time, a considerable decrease appears in the peak acceleration of the main girder. This proves the existence of the damping effect of the heavy-haul train system, and this effect is more obvious for the fully loaded vehicles. Finally, this paper proposes an efficient vehicle modeling method with 2 degrees of freedom(DOF) for simplifying the treatment of the train system in bridge seismic checking.
