Abstract: A structural insulated building unit is provided for constructing a building. The structural insulated building unit includes an insulating core, first and second cementitious panels, and a connecting portion. The insulating core is defined by multiple sides and opposing first and second faces. The first and second cementitious panels are coupled to the first and second faces of the insulating core. The connecting portion is provided on one of the sides of the insulating core, and aligns the structural insulated building unit with an adjacent structural insulated building unit having a complementary connecting portion when constructing a building.

Abstract: A structural insulated building unit is provided for constructing a building. The structural insulated building unit includes an insulating core, first and second cementitious panels, and a connecting portion. The insulating core is defined by multiple sides and opposing first and second faces. The first and second cementitious panels are coupled to the first and second faces of the insulating core. The connecting portion is provided on one of the sides of the insulating core, and aligns the structural insulated building unit with an adjacent structural insulated building unit having a complementary connecting portion when constructing a building.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Biodegradable polymer blends suitable for laminate coatings, wraps and other packaging materials are manufactured from a blend of suitable biodegradable polymers, such as at least one “hard” biopolymer and at least one “soft” biopolymer. “Hard” biopolymers tend to be more brittle and rigid and typically have a glass transition temperature greater than about 10° C. “Soft” biopolymers tend to be more flexible and pliable and typically have a glass transition temperature less than about 0° C. While hard and soft polymers each possess certain intrinsic benefits, certain blends of hard and soft polymers have been discovered which possess synergistic properties superior to those of either hard or soft polymers by themselves. Biodegradable polymers include polyesters, polyesteramides, polyesterurethanes, thermoplastic starch, and other natural polymers. The polymer blends may optionally include an inorganic filler. Films and sheets made from the polymer blends may be textured so as to increase the bulk hand feel.

Abstract: Laminated articles include a porous and/or moisture-sensitive substrate and a multi-layer laminate coating applied thereto. The substrate includes at least one polymer binder (e.g., a starch, a cellulose ether, a polysaccharide gum, a protein, paper, paperboard, or a molded pulp). The multi-layer laminate coating includes an inner layer oriented toward the substrate and an outer layer oriented away from the substrate. The inner layer comprises at least one soft thermoplastic polymer having a melting or softening temperature that is lower than the melting or softening temperature of at least one hard thermoplastic polymer within the outer layer. Heating the multi-layer laminate causes the inner layer to become softened and adhesive, allowing it to adhere to the molded substrate. The higher melting or softening temperature allows the outer layer to maintain the structural integrity of the multi-layer laminate during the coating process.

Abstract: An expandable starch-based composition includes a starch, a volatile blowing agent, a non-volatile plasticizer, nucleating agent, and a water-resistant polymer. The expandable starch-based composition can be characterized by having a plasticized starch capable of expanding when rapidly heated to above the boiling point of the volatile blowing agent and the softening point of the plasticized starch. The composition can be used in a method of manufacturing an expandable starch-based bead, wherein the method includes: introducing the composition into an extruder; heating and mixing the composition in order to yield a thermoplastic melt; extruding the thermoplastic melt through a die opening to yield an extruded strand; cooling the extruded strand; and cutting the cooled strand in to beads.

Abstract: A fiber-reinforced and starch-based composition can be prepared by combining two fractions. The first fraction can include a gelatinized starch, water, and fibers, wherein the fibers are substantially homogenously mixed with the starch in an amount sufficient to structurally reinforce the mechanical characteristics of the starch-based composition. The second fraction is then combined with the first fraction, wherein the second fraction can include non-gelatinized starch, non-volatile plasticizer, and a water-resistant polymer. The composition is mixed so as to form a thermoplastic composition being capable of expanding when rapidly heated to above the boiling point of water and the softening point of the plasticized starch. Additionally, fiber-reinforced articles can be prepared from a method of processing the starch-based compositions. Such a method includes introducing the fiber-reinforced starch-based composition into a mold, and molding the composition into a fiber-reinforced article.

Abstract: 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.

Abstract: Fibrous sheets are coated or impregnated with a biodegradable composition to render the sheets more resistant to penetration by liquids. Biodegradable polymer blends suitable for use in coating or impregnating a fibrous sheet can be manufactured from at least one type of polyhydroxybutyrate, optionally in combination with at least one additional biodegradable polymer (e.g., a “hard” biodegradable polymer having a glass transition temperature of at least about 10° C. and/or a “soft” biodegradable polymer having a glass transition temperature less than about 0° C. Sufficient inorganic filler may be included so as to render the treated sheet microwaveable. The biodegradable polymer compositions are especially well-suited for coating or impregnating paper sheets, e.g., 12-15 lb/3000 ft2 tissue paper to yield food wraps. Food wraps will typically be manufactured to have good “dead-fold” properties so as to remain in a wrapped position and not spring back to an “unwrapped” form.

Abstract: Biodegradable polymer blends suitable for laminate coatings, wraps and other packaging materials are manufactured from a blend of suitable biodegradable polymers, such as at least one “hard” biopolymer and at least one “soft” biopolymer. “Hard” biopolymers tend to be more brittle and rigid and typically have a glass transition temperature greater than about 10° C. “Soft” biopolymers tend to be more flexible and pliable and typically have a glass transition temperature less than about 0° C. While hard and soft polymers each possess certain intrinsic benefits, certain blends of hard and soft polymers have been discovered which possess synergistic properties superior to those of either hard or soft polymers by themselves. Biodegradable polymers include polyesters, polyesteramides, polyesterurethanes, thermoplastic starch, and other natural polymers. The polymer blends may optionally include an inorganic filler. Films and sheets made from the polymer blends may be textured so as to increase the bulk hand feel.

Abstract: A process produces a paste with improved workability. At least 30% by volume of the paste when cured under ASTM conditions crystallizes into monolithic crystals of calcium silicate hydrate exhibiting a unique crystalline structure and having improved compressive strength.

Abstract: A paste with improved workability is formed from at least 20% Portland cement. The paste when cured under ASTM conditions crystallizes into a substantially homogeneous mass of monolithic crystals of calcium silicate hydrate exhibiting a unique crystalline structure and having improved compressive strength.

Abstract: A cement paste generator produces a paste with improved workability. The cement paste generator includes a housing, a shaft and a series of blades and baffles which have critical dimensions.