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    • 1. 发明公开
    • Computer-implemented methods for re-designing a concrete composition to have adjusted slump
    • 计算机软件工程师
    • EP2026225A2
    • 2009-02-18
    • EP08166505.1
    • 2006-06-19
    • iCrete, LLC
    • Andersen, Per JustHodson, Simon K
    • G06F17/50
    • C04B28/02C04B2290/10G06F17/50G06F2217/08Y02W30/92C04B14/06C04B18/08C04B20/0076C04B2103/302C04B2103/304
    • Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually "test" millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.
    • 设计优化方法可用于设计具有优化性能的混凝土混合物,包括所需的强度和最低成本的坍落度。 设计优化方法使用计算机实现的过程,其能够使用数学算法设计和虚拟地“测试”数百万个假设混凝土组合物,该算法将影响强度,坍落度,成本和其他所需特征的多个变量相互关联。 设计优化过程利用Feret强度方程中的常数K(或K因子),其对于任何给定的原料输入和处理设备的混凝土强度而变化(例如,对数)。 这意味着只要混凝土保持优化,水泥浆的粘合效率或有效性就会随着浓度的增加而增加。 K因子如何随绑定效率和强度而变化的知识是可以在多种情况下应用的强大工具。 混凝土制造过程可以包括准确地测量原材料以最小化预测和实际强度之间的变化,以及在制造和输送过程中仔细控制含水量。
    • 2. 发明公开
    • Methods for determining whether an existing concrete composition is overdesigned
    • 韦尔法罕zur Bestimmung obeine bestehende Betonmischungüberbestimmtist
    • EP2026227A2
    • 2009-02-18
    • EP08166508.5
    • 2006-06-19
    • iCrete, LLC
    • Andersen, Per JustHodson, Simon K
    • G06F17/50
    • C04B28/02C04B2290/10G06F17/50G06F2217/08Y02W30/92C04B14/06C04B18/08C04B20/0076C04B2103/302C04B2103/304
    • Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually "test" millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.
    • 设计优化方法可用于设计具有优化性能的混凝土混合物,包括所需的强度和最低成本的坍落度。 设计优化方法使用计算机实现的过程,其能够使用数学算法设计和虚拟地“测试”数百万个假设混凝土组合物,该算法将影响强度,坍落度,成本和其他所需特征的多个变量相互关联。 设计优化过程利用Feret强度方程中的常数K(或K因子),其对于任何给定的原料输入和处理设备的混凝土强度而变化(例如,对数)。 这意味着只要混凝土保持优化,水泥浆的粘合效率或有效性就会随着浓度的增加而增加。 K因子如何随绑定效率和强度而变化的知识是可以在多种情况下应用的强大工具。 混凝土制造过程可以包括准确地测量原材料以最小化预测和实际强度之间的变化,以及在制造和输送过程中仔细控制含水量。
    • 5. 发明公开
    • Computer-implemented methods for re-designing a pre-existing concrete mix design
    • 计算机维权人员
    • EP2026226A2
    • 2009-02-18
    • EP08166506.9
    • 2006-06-19
    • iCrete, LLC
    • Andersen, Per JustHodson, Simon K
    • G06F17/50
    • C04B28/02C04B2290/10G06F17/50G06F2217/08Y02W30/92C04B14/06C04B18/08C04B20/0076C04B2103/302C04B2103/304
    • Design optimization methods can be used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually "test" millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cist and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency of effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can be applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.
    • 设计优化方法可用于设计具有优化性能的混凝土混合物,包括所需的强度和最低成本的坍落度。 设计优化方法使用计算机实现的过程,其能够使用数学算法来设计和虚拟地“测试”数百万个假设混凝土组合物,该算法将影响强度,坍落度,起始和其他期望特征的多个变量相互关联。 设计优化过程利用Feret强度方程中的常数K(或K因子),其对于任何给定的原料输入和处理设备的混凝土强度而变化(例如,对数)。 这意味着只要混凝土保持优化,水泥浆的有效性的结合效率随着浓度的增加而增加。 K因子如何随绑定效率和强度而变化的知识是可以在多种情况下应用的强大工具。 混凝土制造过程可以包括准确地测量原材料以最小化预测和实际强度之间的变化,以及在制造和输送过程中仔细控制含水量。
    • 6. 发明公开
    • Methods and systems for manufacturing optimized concrete
    • Verfahren und Systeme zur Herstellung von optimiertem Beton
    • EP2026224A2
    • 2009-02-18
    • EP08166499.7
    • 2006-06-19
    • iCrete, LLC
    • Andersen, Per JustHodson, Simon K
    • G06F17/50
    • G06F17/5004C04B28/02G06F17/5009G06F2217/04G06F2217/08Y02W30/92Y02W30/94C04B14/06C04B18/08C04B18/146C04B24/12C04B40/0096C04B2103/302C04B2103/304
    • Design optimization methods can he used to design concrete mixtures having optimized properties, including desired strength and slump at minimal cost. The design optimization methods use a computer-implemented process that is able to design and virtually "test" millions of hypothetical concrete compositions using mathematical algorithms that interrelate a number of variables that affect strength, slump, cost and other desired features. The design optimization procedure utilizes a constant K (or K factor) within Feret's strength equation that varies (e.g., logarithmically) with concrete strength for any given set of raw material inputs and processing equipment. That means that the binding efficiency or effectiveness of hydraulic cement increases with increasing concentration so long as the concrete remains optimized. The knowledge of how the K factor varies with binding efficiency and strength is a powerful tool that can he applied in multiple circumstances. A concrete manufacturing process may include accurately measuring the raw materials to minimize variation between predicted and actual strength, as well as carefully controlling water content throughout the manufacturing and delivery process.
    • 他可以使用设计优化方法来设计具有优化性能的混凝土混合物,包括所需的强度和最低成本的坍落度。 设计优化方法使用计算机实现的过程,其能够使用数学算法设计和虚拟地“测试”数百万个假设混凝土组合物,该算法将影响强度,坍落度,成本和其他所需特征的多个变量相互关联。 设计优化过程利用Feret强度方程中的常数K(或K因子),其对于任何给定的原料输入和处理设备的混凝土强度而变化(例如,对数)。 这意味着只要混凝土保持优化,水泥浆的粘合效率或有效性就会随着浓度的增加而增加。 K因子如何随着约束效率和强度而变化的知识是可以在多种情况下应用的强大工具。 混凝土制造过程可以包括准确地测量原材料以最小化预测和实际强度之间的变化,以及在制造和输送过程中仔细控制含水量。